{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "829\n",
      "10653871.4385\n",
      "11503.3275437\n",
      "11328.2758814\n",
      "11043.9899947\n",
      "10569.6915987\n",
      "10101.5746495\n",
      "9754.37498803\n",
      "9505.04787216\n",
      "9315.66604381\n",
      "9175.58805562\n",
      "9077.83758045\n",
      "9013.36493958\n",
      "8968.07511871\n",
      "8933.047983\n",
      "8905.85845206\n",
      "8884.1970366\n",
      "8865.29061662\n",
      "8847.69037057\n",
      "8831.40021961\n",
      "8817.22555552\n",
      "8805.27002176\n",
      "8795.18700538\n"
     ]
    }
   ],
   "source": [
    "from imp import reload\n",
    "from numpy import matrix\n",
    "import nmf\n",
    "import pickle\n",
    "import newsfeatures\n",
    "\n",
    "reload(newsfeatures)\n",
    "reload(nmf)\n",
    "\n",
    "allw = pickle.load(open('input/tmp1.txt', 'rb'))\n",
    "artw = pickle.load(open('input/tmp2.txt', 'rb'))\n",
    "artt = pickle.load(open('input/tmp3.txt', 'rb'))\n",
    "\n",
    "wordmatrix, wordvec = newsfeatures.makematrix(allw, artw)\n",
    "print(len(wordvec))\n",
    "v = matrix(wordmatrix)\n",
    "weights, feat = nmf.factorize(v, pc=20, iter=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "reload(newsfeatures)\n",
    "topp, pn = newsfeatures.showfeatures(weights, feat, artt, wordvec)\n",
    "newsfeatures.showarticles(artt, topp, pn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-17-1ed034db4461>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mclusters\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mreload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclusters\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mclust\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclusters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhcluster\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwordmatrix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mclusters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrawdendrogram\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0martt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjpeg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'output/news.jpg'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/Captain/Desktop/Programming-Collective-Intelligence/ch10/clusters.py\u001b[0m in \u001b[0;36mhcluster\u001b[0;34m(rows, distance)\u001b[0m\n\u001b[1;32m     64\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m                 \u001b[0;31m# distances is the cache of distance calculations\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdistances\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m                     \u001b[0mdistances\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdistance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "import clusters\n",
    "reload(clusters)\n",
    "clust = clusters.hcluster(wordmatrix)\n",
    "clusters.drawdendrogram(clust, artt, jpeg='output/news.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-18-067214c5c273>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mtranmatrix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mwordmatrix\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;32mfor\u001b[0m \u001b[0mcol\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwordmatrix\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mwordclust\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclusters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhcluster\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtranmatrix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mclusters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrawdendrogram\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwordclust\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwordvec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjpeg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'words.jpg'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/Captain/Desktop/Programming-Collective-Intelligence/ch10/clusters.py\u001b[0m in \u001b[0;36mhcluster\u001b[0;34m(rows, distance)\u001b[0m\n\u001b[1;32m     64\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m                 \u001b[0;31m# distances is the cache of distance calculations\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdistances\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m                     \u001b[0mdistances\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdistance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclust\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "tranmatrix = [[r[col] for r in wordmatrix]for col in range(len(wordmatrix[0]))]\n",
    "\n",
    "wordclust = clusters.hcluster(tranmatrix)\n",
    "clusters.drawdendrogram(wordclust, wordvec, jpeg='words.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7434.06508711\n",
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      "0.0934917710088\n",
      "0.0895528531771\n",
      "0.0857927891648\n",
      "0.0822025979359\n",
      "0.0787738080238\n",
      "0.0754984245415\n",
      "0.0723688986184\n",
      "0.0693780990666\n",
      "0.0665192860904\n",
      "0.0637860868766\n",
      "0.061172472912\n",
      "0.0586727388924\n",
      "0.0562814830969\n",
      "0.0539935891132\n",
      "0.0518042088095\n",
      "0.0497087464575\n",
      "0.0477028439187\n",
      "0.0457823668148\n",
      "0.0439433916077\n",
      "[[ 22.14689774  27.88332107]\n",
      " [ 48.93356682  64.05075339]]\n",
      "[[22 28]\n",
      " [49 64]]\n"
     ]
    }
   ],
   "source": [
    "import nmf\n",
    "from numpy import *\n",
    "\n",
    "m1 = matrix([[1,2,3],[4,5,6]])\n",
    "m2 = matrix([[1,2],[3,4],[5,6]])\n",
    "\n",
    "w, h = nmf.factorize(m1*m2, pc=3, iter=100)\n",
    "print(w*h)\n",
    "print(m1*m2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>529.01</td>\n",
       "      <td>531.27</td>\n",
       "      <td>524.10</td>\n",
       "      <td>524.81</td>\n",
       "      <td>1446662</td>\n",
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       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>523.26</td>\n",
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       "      <td>513.87</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>515.00</td>\n",
       "      <td>516.18</td>\n",
       "      <td>501.05</td>\n",
       "      <td>501.96</td>\n",
       "      <td>2891950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>507.00</td>\n",
       "      <td>507.24</td>\n",
       "      <td>499.65</td>\n",
       "      <td>501.10</td>\n",
       "      <td>2059366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>497.99</td>\n",
       "      <td>503.48</td>\n",
       "      <td>491.00</td>\n",
       "      <td>502.68</td>\n",
       "      <td>3344395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-09</th>\n",
       "      <td>504.76</td>\n",
       "      <td>504.92</td>\n",
       "      <td>494.79</td>\n",
       "      <td>496.17</td>\n",
       "      <td>2065715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-12</th>\n",
       "      <td>494.94</td>\n",
       "      <td>495.98</td>\n",
       "      <td>487.56</td>\n",
       "      <td>492.55</td>\n",
       "      <td>2320446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-13</th>\n",
       "      <td>498.84</td>\n",
       "      <td>502.98</td>\n",
       "      <td>492.39</td>\n",
       "      <td>496.18</td>\n",
       "      <td>2365687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-14</th>\n",
       "      <td>494.65</td>\n",
       "      <td>503.23</td>\n",
       "      <td>493.00</td>\n",
       "      <td>500.87</td>\n",
       "      <td>2229638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-15</th>\n",
       "      <td>505.57</td>\n",
       "      <td>505.68</td>\n",
       "      <td>497.76</td>\n",
       "      <td>501.79</td>\n",
       "      <td>2711355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-16</th>\n",
       "      <td>500.01</td>\n",
       "      <td>508.19</td>\n",
       "      <td>500.00</td>\n",
       "      <td>508.08</td>\n",
       "      <td>2292043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-20</th>\n",
       "      <td>511.00</td>\n",
       "      <td>512.50</td>\n",
       "      <td>506.02</td>\n",
       "      <td>506.90</td>\n",
       "      <td>2225922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-21</th>\n",
       "      <td>507.25</td>\n",
       "      <td>519.28</td>\n",
       "      <td>506.20</td>\n",
       "      <td>518.04</td>\n",
       "      <td>2262455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-22</th>\n",
       "      <td>521.48</td>\n",
       "      <td>536.33</td>\n",
       "      <td>519.70</td>\n",
       "      <td>534.39</td>\n",
       "      <td>2669558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-23</th>\n",
       "      <td>535.59</td>\n",
       "      <td>542.17</td>\n",
       "      <td>533.00</td>\n",
       "      <td>539.95</td>\n",
       "      <td>2275485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-26</th>\n",
       "      <td>538.53</td>\n",
       "      <td>539.00</td>\n",
       "      <td>529.67</td>\n",
       "      <td>535.21</td>\n",
       "      <td>1539524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-27</th>\n",
       "      <td>529.97</td>\n",
       "      <td>530.70</td>\n",
       "      <td>518.19</td>\n",
       "      <td>518.63</td>\n",
       "      <td>1898844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-28</th>\n",
       "      <td>522.78</td>\n",
       "      <td>522.99</td>\n",
       "      <td>510.00</td>\n",
       "      <td>510.00</td>\n",
       "      <td>1679230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-29</th>\n",
       "      <td>511.00</td>\n",
       "      <td>511.09</td>\n",
       "      <td>501.20</td>\n",
       "      <td>510.66</td>\n",
       "      <td>4174924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-30</th>\n",
       "      <td>515.86</td>\n",
       "      <td>539.87</td>\n",
       "      <td>515.52</td>\n",
       "      <td>534.52</td>\n",
       "      <td>5590977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-02</th>\n",
       "      <td>531.73</td>\n",
       "      <td>533.00</td>\n",
       "      <td>518.55</td>\n",
       "      <td>528.48</td>\n",
       "      <td>2841976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-03</th>\n",
       "      <td>528.00</td>\n",
       "      <td>533.40</td>\n",
       "      <td>523.26</td>\n",
       "      <td>529.24</td>\n",
       "      <td>2033085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>529.24</td>\n",
       "      <td>532.67</td>\n",
       "      <td>521.27</td>\n",
       "      <td>522.76</td>\n",
       "      <td>1659125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>523.79</td>\n",
       "      <td>528.50</td>\n",
       "      <td>522.09</td>\n",
       "      <td>527.58</td>\n",
       "      <td>1844687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>527.64</td>\n",
       "      <td>537.20</td>\n",
       "      <td>526.41</td>\n",
       "      <td>531.00</td>\n",
       "      <td>1758650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>528.00</td>\n",
       "      <td>532.00</td>\n",
       "      <td>526.02</td>\n",
       "      <td>527.83</td>\n",
       "      <td>1264276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-10</th>\n",
       "      <td>529.30</td>\n",
       "      <td>537.70</td>\n",
       "      <td>526.92</td>\n",
       "      <td>536.94</td>\n",
       "      <td>1745076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-11</th>\n",
       "      <td>535.30</td>\n",
       "      <td>538.45</td>\n",
       "      <td>533.38</td>\n",
       "      <td>535.97</td>\n",
       "      <td>1373970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-12</th>\n",
       "      <td>537.25</td>\n",
       "      <td>544.82</td>\n",
       "      <td>534.67</td>\n",
       "      <td>542.93</td>\n",
       "      <td>1615824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-13</th>\n",
       "      <td>543.35</td>\n",
       "      <td>549.91</td>\n",
       "      <td>543.13</td>\n",
       "      <td>549.01</td>\n",
       "      <td>1895126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-05</th>\n",
       "      <td>976.55</td>\n",
       "      <td>986.91</td>\n",
       "      <td>975.10</td>\n",
       "      <td>983.68</td>\n",
       "      <td>1252106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-06</th>\n",
       "      <td>983.16</td>\n",
       "      <td>988.25</td>\n",
       "      <td>975.14</td>\n",
       "      <td>976.57</td>\n",
       "      <td>1814624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-07</th>\n",
       "      <td>979.65</td>\n",
       "      <td>984.15</td>\n",
       "      <td>975.77</td>\n",
       "      <td>981.08</td>\n",
       "      <td>1453874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-08</th>\n",
       "      <td>982.35</td>\n",
       "      <td>984.57</td>\n",
       "      <td>977.20</td>\n",
       "      <td>983.41</td>\n",
       "      <td>1481916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-09</th>\n",
       "      <td>984.50</td>\n",
       "      <td>984.50</td>\n",
       "      <td>935.63</td>\n",
       "      <td>949.83</td>\n",
       "      <td>3309389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-12</th>\n",
       "      <td>939.56</td>\n",
       "      <td>949.36</td>\n",
       "      <td>915.23</td>\n",
       "      <td>942.90</td>\n",
       "      <td>3763529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-13</th>\n",
       "      <td>951.91</td>\n",
       "      <td>959.98</td>\n",
       "      <td>944.09</td>\n",
       "      <td>953.40</td>\n",
       "      <td>2013337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-14</th>\n",
       "      <td>959.92</td>\n",
       "      <td>961.15</td>\n",
       "      <td>942.25</td>\n",
       "      <td>950.76</td>\n",
       "      <td>1489715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-15</th>\n",
       "      <td>933.97</td>\n",
       "      <td>943.34</td>\n",
       "      <td>924.44</td>\n",
       "      <td>942.31</td>\n",
       "      <td>2133050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-16</th>\n",
       "      <td>940.00</td>\n",
       "      <td>942.04</td>\n",
       "      <td>931.60</td>\n",
       "      <td>939.78</td>\n",
       "      <td>3094711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-19</th>\n",
       "      <td>949.96</td>\n",
       "      <td>959.99</td>\n",
       "      <td>949.05</td>\n",
       "      <td>957.37</td>\n",
       "      <td>1533336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-20</th>\n",
       "      <td>957.52</td>\n",
       "      <td>961.62</td>\n",
       "      <td>950.01</td>\n",
       "      <td>950.63</td>\n",
       "      <td>1125990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-21</th>\n",
       "      <td>953.64</td>\n",
       "      <td>960.10</td>\n",
       "      <td>950.76</td>\n",
       "      <td>959.45</td>\n",
       "      <td>1202233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-22</th>\n",
       "      <td>958.70</td>\n",
       "      <td>960.72</td>\n",
       "      <td>954.55</td>\n",
       "      <td>957.09</td>\n",
       "      <td>941958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-23</th>\n",
       "      <td>956.83</td>\n",
       "      <td>966.00</td>\n",
       "      <td>954.20</td>\n",
       "      <td>965.59</td>\n",
       "      <td>1527856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-26</th>\n",
       "      <td>969.90</td>\n",
       "      <td>973.31</td>\n",
       "      <td>950.79</td>\n",
       "      <td>952.27</td>\n",
       "      <td>1598355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-27</th>\n",
       "      <td>942.46</td>\n",
       "      <td>948.29</td>\n",
       "      <td>926.85</td>\n",
       "      <td>927.33</td>\n",
       "      <td>2579930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-28</th>\n",
       "      <td>929.00</td>\n",
       "      <td>942.75</td>\n",
       "      <td>916.00</td>\n",
       "      <td>940.49</td>\n",
       "      <td>2721406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-29</th>\n",
       "      <td>929.92</td>\n",
       "      <td>931.26</td>\n",
       "      <td>910.62</td>\n",
       "      <td>917.79</td>\n",
       "      <td>3299176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-30</th>\n",
       "      <td>926.05</td>\n",
       "      <td>926.05</td>\n",
       "      <td>908.31</td>\n",
       "      <td>908.73</td>\n",
       "      <td>2090226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-03</th>\n",
       "      <td>912.18</td>\n",
       "      <td>913.94</td>\n",
       "      <td>894.79</td>\n",
       "      <td>898.70</td>\n",
       "      <td>1710373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-05</th>\n",
       "      <td>901.76</td>\n",
       "      <td>914.51</td>\n",
       "      <td>898.50</td>\n",
       "      <td>911.71</td>\n",
       "      <td>1813884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-06</th>\n",
       "      <td>904.12</td>\n",
       "      <td>914.94</td>\n",
       "      <td>899.70</td>\n",
       "      <td>906.69</td>\n",
       "      <td>1424503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-07</th>\n",
       "      <td>908.85</td>\n",
       "      <td>921.54</td>\n",
       "      <td>908.85</td>\n",
       "      <td>918.59</td>\n",
       "      <td>1637785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-10</th>\n",
       "      <td>921.77</td>\n",
       "      <td>930.38</td>\n",
       "      <td>919.59</td>\n",
       "      <td>928.80</td>\n",
       "      <td>1192825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-11</th>\n",
       "      <td>929.54</td>\n",
       "      <td>931.43</td>\n",
       "      <td>922.00</td>\n",
       "      <td>930.09</td>\n",
       "      <td>1113235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-12</th>\n",
       "      <td>938.68</td>\n",
       "      <td>946.30</td>\n",
       "      <td>934.47</td>\n",
       "      <td>943.83</td>\n",
       "      <td>1532144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13</th>\n",
       "      <td>946.29</td>\n",
       "      <td>954.45</td>\n",
       "      <td>943.01</td>\n",
       "      <td>947.16</td>\n",
       "      <td>1294687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-14</th>\n",
       "      <td>952.00</td>\n",
       "      <td>956.91</td>\n",
       "      <td>948.00</td>\n",
       "      <td>955.99</td>\n",
       "      <td>1053774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-17</th>\n",
       "      <td>957.00</td>\n",
       "      <td>960.74</td>\n",
       "      <td>949.24</td>\n",
       "      <td>953.42</td>\n",
       "      <td>1165537</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>639 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open    High     Low   Close   Volume\n",
       "Date                                               \n",
       "2015-01-02  529.01  531.27  524.10  524.81  1446662\n",
       "2015-01-05  523.26  524.33  513.06  513.87  2054238\n",
       "2015-01-06  515.00  516.18  501.05  501.96  2891950\n",
       "2015-01-07  507.00  507.24  499.65  501.10  2059366\n",
       "2015-01-08  497.99  503.48  491.00  502.68  3344395\n",
       "2015-01-09  504.76  504.92  494.79  496.17  2065715\n",
       "2015-01-12  494.94  495.98  487.56  492.55  2320446\n",
       "2015-01-13  498.84  502.98  492.39  496.18  2365687\n",
       "2015-01-14  494.65  503.23  493.00  500.87  2229638\n",
       "2015-01-15  505.57  505.68  497.76  501.79  2711355\n",
       "2015-01-16  500.01  508.19  500.00  508.08  2292043\n",
       "2015-01-20  511.00  512.50  506.02  506.90  2225922\n",
       "2015-01-21  507.25  519.28  506.20  518.04  2262455\n",
       "2015-01-22  521.48  536.33  519.70  534.39  2669558\n",
       "2015-01-23  535.59  542.17  533.00  539.95  2275485\n",
       "2015-01-26  538.53  539.00  529.67  535.21  1539524\n",
       "2015-01-27  529.97  530.70  518.19  518.63  1898844\n",
       "2015-01-28  522.78  522.99  510.00  510.00  1679230\n",
       "2015-01-29  511.00  511.09  501.20  510.66  4174924\n",
       "2015-01-30  515.86  539.87  515.52  534.52  5590977\n",
       "2015-02-02  531.73  533.00  518.55  528.48  2841976\n",
       "2015-02-03  528.00  533.40  523.26  529.24  2033085\n",
       "2015-02-04  529.24  532.67  521.27  522.76  1659125\n",
       "2015-02-05  523.79  528.50  522.09  527.58  1844687\n",
       "2015-02-06  527.64  537.20  526.41  531.00  1758650\n",
       "2015-02-09  528.00  532.00  526.02  527.83  1264276\n",
       "2015-02-10  529.30  537.70  526.92  536.94  1745076\n",
       "2015-02-11  535.30  538.45  533.38  535.97  1373970\n",
       "2015-02-12  537.25  544.82  534.67  542.93  1615824\n",
       "2015-02-13  543.35  549.91  543.13  549.01  1895126\n",
       "...            ...     ...     ...     ...      ...\n",
       "2017-06-05  976.55  986.91  975.10  983.68  1252106\n",
       "2017-06-06  983.16  988.25  975.14  976.57  1814624\n",
       "2017-06-07  979.65  984.15  975.77  981.08  1453874\n",
       "2017-06-08  982.35  984.57  977.20  983.41  1481916\n",
       "2017-06-09  984.50  984.50  935.63  949.83  3309389\n",
       "2017-06-12  939.56  949.36  915.23  942.90  3763529\n",
       "2017-06-13  951.91  959.98  944.09  953.40  2013337\n",
       "2017-06-14  959.92  961.15  942.25  950.76  1489715\n",
       "2017-06-15  933.97  943.34  924.44  942.31  2133050\n",
       "2017-06-16  940.00  942.04  931.60  939.78  3094711\n",
       "2017-06-19  949.96  959.99  949.05  957.37  1533336\n",
       "2017-06-20  957.52  961.62  950.01  950.63  1125990\n",
       "2017-06-21  953.64  960.10  950.76  959.45  1202233\n",
       "2017-06-22  958.70  960.72  954.55  957.09   941958\n",
       "2017-06-23  956.83  966.00  954.20  965.59  1527856\n",
       "2017-06-26  969.90  973.31  950.79  952.27  1598355\n",
       "2017-06-27  942.46  948.29  926.85  927.33  2579930\n",
       "2017-06-28  929.00  942.75  916.00  940.49  2721406\n",
       "2017-06-29  929.92  931.26  910.62  917.79  3299176\n",
       "2017-06-30  926.05  926.05  908.31  908.73  2090226\n",
       "2017-07-03  912.18  913.94  894.79  898.70  1710373\n",
       "2017-07-05  901.76  914.51  898.50  911.71  1813884\n",
       "2017-07-06  904.12  914.94  899.70  906.69  1424503\n",
       "2017-07-07  908.85  921.54  908.85  918.59  1637785\n",
       "2017-07-10  921.77  930.38  919.59  928.80  1192825\n",
       "2017-07-11  929.54  931.43  922.00  930.09  1113235\n",
       "2017-07-12  938.68  946.30  934.47  943.83  1532144\n",
       "2017-07-13  946.29  954.45  943.01  947.16  1294687\n",
       "2017-07-14  952.00  956.91  948.00  955.99  1053774\n",
       "2017-07-17  957.00  960.74  949.24  953.42  1165537\n",
       "\n",
       "[639 rows x 5 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pandas_datareader import data \n",
    "import datetime\n",
    "\n",
    "start = datetime.datetime(2015, 1, 1)\n",
    "end = datetime.date.today()\n",
    "rows = data.DataReader('GOOG', 'google', start, end)\n",
    "rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  6887000,\n",
       "  11096700,\n",
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       " [11843200,\n",
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       "  2946000,\n",
       "  2546800,\n",
       "  4209600,\n",
       "  5276400,\n",
       "  14604400,\n",
       "  8972400,\n",
       "  12379700],\n",
       " [10149300,\n",
       "  2305200,\n",
       "  2710000,\n",
       "  9239200,\n",
       "  3645800,\n",
       "  4169200,\n",
       "  15990400,\n",
       "  15135800,\n",
       "  11878100],\n",
       " [9512800,\n",
       "  2919400,\n",
       "  2371400,\n",
       "  6579600,\n",
       "  2740800,\n",
       "  5462200,\n",
       "  8828200,\n",
       "  14874500,\n",
       "  12983700],\n",
       " [9127400,\n",
       "  1904400,\n",
       "  4479500,\n",
       "  3805200,\n",
       "  3148000,\n",
       "  7115000,\n",
       "  7876800,\n",
       "  18917600,\n",
       "  12342600],\n",
       " [9646600,\n",
       "  1868600,\n",
       "  4435900,\n",
       "  2067300,\n",
       "  4150600,\n",
       "  5324600,\n",
       "  8595200,\n",
       "  11977900,\n",
       "  35472200]]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l1 = pickle.load(open('input/finance.txt', 'rb'))\n",
    "l1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Get YHOO data!\n",
      "Get AVP data!\n",
      "Get BIIB data!\n",
      "Get BP data!\n",
      "Get CL data!\n",
      "Get CVX data!\n",
      "Get GOOG data!\n",
      "Get PG data!\n",
      "Get XOM data!\n",
      "Get AMGN data!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[[4757700,\n",
       "  2041000,\n",
       "  1427100,\n",
       "  3676500,\n",
       "  3049600,\n",
       "  9590000,\n",
       "  nan,\n",
       "  7822400,\n",
       "  7799900,\n",
       "  4342100],\n",
       " [6087900,\n",
       "  1651200,\n",
       "  1824400,\n",
       "  2585100,\n",
       "  3165600,\n",
       "  10585400,\n",
       "  nan,\n",
       "  7370800,\n",
       "  9631700,\n",
       "  5745900],\n",
       " [9005500,\n",
       "  2528400,\n",
       "  2526100,\n",
       "  2650500,\n",
       "  3841000,\n",
       "  9742800,\n",
       "  nan,\n",
       "  9184000,\n",
       "  6854300,\n",
       "  6897600],\n",
       " [7455900,\n",
       "  1791800,\n",
       "  7810400,\n",
       "  1639300,\n",
       "  3107000,\n",
       "  7007400,\n",
       "  nan,\n",
       "  7984600,\n",
       "  6572200,\n",
       "  10453200],\n",
       " [6516000,\n",
       "  1523800,\n",
       "  4921000,\n",
       "  2252500,\n",
       "  3464200,\n",
       "  5856000,\n",
       "  nan,\n",
       "  5965000,\n",
       "  6022400,\n",
       "  10872000],\n",
       " [7465000,\n",
       "  1878800,\n",
       "  2999200,\n",
       "  2054800,\n",
       "  2655200,\n",
       "  4380000,\n",
       "  nan,\n",
       "  7206200,\n",
       "  6580200,\n",
       "  4596400],\n",
       " [6201400,\n",
       "  1883600,\n",
       "  2725200,\n",
       "  1946800,\n",
       "  1738800,\n",
       "  6309600,\n",
       "  nan,\n",
       "  5262400,\n",
       "  8108100,\n",
       "  4486300],\n",
       " [10688100,\n",
       "  2902600,\n",
       "  2717000,\n",
       "  2395500,\n",
       "  2665800,\n",
       "  6110800,\n",
       "  nan,\n",
       "  7104200,\n",
       "  10663400,\n",
       "  6696300],\n",
       " [11795500,\n",
       "  1799800,\n",
       "  2680400,\n",
       "  1506500,\n",
       "  1614800,\n",
       "  4954000,\n",
       "  nan,\n",
       "  4653200,\n",
       "  7156600,\n",
       "  11997300],\n",
       " [7640700,\n",
       "  3187600,\n",
       "  2236500,\n",
       "  1539400,\n",
       "  2415800,\n",
       "  6328800,\n",
       "  nan,\n",
       "  7429000,\n",
       "  9209900,\n",
       "  6144200],\n",
       " [9173200,\n",
       "  6812600,\n",
       "  3561000,\n",
       "  2838800,\n",
       "  6205200,\n",
       "  5111200,\n",
       "  nan,\n",
       "  7687200,\n",
       "  9478900,\n",
       "  7228600],\n",
       " [11894600,\n",
       "  5231200,\n",
       "  3623600,\n",
       "  2120700,\n",
       "  3679200,\n",
       "  6261000,\n",
       "  nan,\n",
       "  8744400,\n",
       "  10295000,\n",
       "  7583600],\n",
       " [14487500,\n",
       "  5454200,\n",
       "  3325900,\n",
       "  2052600,\n",
       "  5306200,\n",
       "  6224000,\n",
       "  nan,\n",
       "  6475200,\n",
       "  10106400,\n",
       "  11449600],\n",
       " [8784900,\n",
       "  2761800,\n",
       "  3495100,\n",
       "  2386200,\n",
       "  4357800,\n",
       "  4541600,\n",
       "  nan,\n",
       "  7404800,\n",
       "  10700600,\n",
       "  7011900],\n",
       " [14602800,\n",
       "  3065400,\n",
       "  8377400,\n",
       "  4366700,\n",
       "  5216200,\n",
       "  7008600,\n",
       "  nan,\n",
       "  11837800,\n",
       "  16626400,\n",
       "  6593800],\n",
       " [16826100,\n",
       "  3003600,\n",
       "  6042200,\n",
       "  3416400,\n",
       "  5808400,\n",
       "  7683400,\n",
       "  nan,\n",
       "  9209000,\n",
       "  10077700,\n",
       "  12110500],\n",
       " [10277700,\n",
       "  5648000,\n",
       "  3410200,\n",
       "  3769100,\n",
       "  6389400,\n",
       "  5403400,\n",
       "  nan,\n",
       "  11089400,\n",
       "  15375700,\n",
       "  19517500],\n",
       " [12117400,\n",
       "  4312600,\n",
       "  5896100,\n",
       "  3223400,\n",
       "  4589800,\n",
       "  5267800,\n",
       "  nan,\n",
       "  9654200,\n",
       "  12613200,\n",
       "  18710000],\n",
       " [7846400,\n",
       "  4641200,\n",
       "  4278600,\n",
       "  5492800,\n",
       "  7049000,\n",
       "  5005400,\n",
       "  nan,\n",
       "  20098200,\n",
       "  21236300,\n",
       "  14534200],\n",
       " [12743000,\n",
       "  3231400,\n",
       "  5892000,\n",
       "  2737800,\n",
       "  3211800,\n",
       "  6987600,\n",
       "  nan,\n",
       "  10251600,\n",
       "  13470700,\n",
       "  18178500],\n",
       " [7527300,\n",
       "  4893200,\n",
       "  4171800,\n",
       "  3048800,\n",
       "  4801600,\n",
       "  6459600,\n",
       "  nan,\n",
       "  7980800,\n",
       "  15536100,\n",
       "  9615400],\n",
       " [11181800,\n",
       "  2861000,\n",
       "  3989900,\n",
       "  3224800,\n",
       "  4942800,\n",
       "  6467200,\n",
       "  nan,\n",
       "  6894000,\n",
       "  11460500,\n",
       "  9675800],\n",
       " [7411000,\n",
       "  2512600,\n",
       "  3099000,\n",
       "  4199000,\n",
       "  4150800,\n",
       "  5485200,\n",
       "  nan,\n",
       "  7136200,\n",
       "  13256400,\n",
       "  10772000],\n",
       " [14202200,\n",
       "  2871600,\n",
       "  3432700,\n",
       "  2962600,\n",
       "  4448000,\n",
       "  4450400,\n",
       "  nan,\n",
       "  9938800,\n",
       "  13986100,\n",
       "  8813800],\n",
       " [5885500,\n",
       "  1194200,\n",
       "  4077600,\n",
       "  1845900,\n",
       "  4311800,\n",
       "  6794000,\n",
       "  nan,\n",
       "  7006400,\n",
       "  10029500,\n",
       "  9182800],\n",
       " [6929400,\n",
       "  2045000,\n",
       "  3782100,\n",
       "  2109800,\n",
       "  2368200,\n",
       "  8131600,\n",
       "  nan,\n",
       "  5705600,\n",
       "  10882200,\n",
       "  9761100],\n",
       " [5043000,\n",
       "  2069800,\n",
       "  2952200,\n",
       "  1768600,\n",
       "  4096800,\n",
       "  12107000,\n",
       "  nan,\n",
       "  8268400,\n",
       "  12884500,\n",
       "  7357300],\n",
       " [11691900,\n",
       "  1397200,\n",
       "  3221400,\n",
       "  1922800,\n",
       "  2731600,\n",
       "  10873400,\n",
       "  nan,\n",
       "  7914400,\n",
       "  11922500,\n",
       "  9058200],\n",
       " [17691300,\n",
       "  1700000,\n",
       "  4316100,\n",
       "  2376900,\n",
       "  3229400,\n",
       "  7647200,\n",
       "  nan,\n",
       "  6016000,\n",
       "  11380600,\n",
       "  9135700],\n",
       " [6137500,\n",
       "  1225400,\n",
       "  2608400,\n",
       "  2208200,\n",
       "  1915200,\n",
       "  8305800,\n",
       "  nan,\n",
       "  4237600,\n",
       "  8761800,\n",
       "  6743500],\n",
       " [6946800,\n",
       "  2408600,\n",
       "  1992400,\n",
       "  1966300,\n",
       "  1923800,\n",
       "  6152400,\n",
       "  nan,\n",
       "  5415000,\n",
       "  7189500,\n",
       "  4897600],\n",
       " [5882300,\n",
       "  2109400,\n",
       "  2687900,\n",
       "  1773400,\n",
       "  2462000,\n",
       "  2780800,\n",
       "  nan,\n",
       "  5532800,\n",
       "  10405200,\n",
       "  5675700],\n",
       " [12211200,\n",
       "  4209400,\n",
       "  8317400,\n",
       "  2051400,\n",
       "  2786000,\n",
       "  5228400,\n",
       "  nan,\n",
       "  6148200,\n",
       "  10411000,\n",
       "  6167400],\n",
       " [29159600,\n",
       "  4729800,\n",
       "  8527900,\n",
       "  3414500,\n",
       "  2215200,\n",
       "  5649600,\n",
       "  nan,\n",
       "  5865200,\n",
       "  11364800,\n",
       "  9462200],\n",
       " [14302100,\n",
       "  2282600,\n",
       "  3647300,\n",
       "  1468000,\n",
       "  1960600,\n",
       "  5033200,\n",
       "  nan,\n",
       "  5903200,\n",
       "  6650900,\n",
       "  9541600],\n",
       " [5628300,\n",
       "  4368800,\n",
       "  1947700,\n",
       "  1092800,\n",
       "  4095600,\n",
       "  3288600,\n",
       "  nan,\n",
       "  8370400,\n",
       "  6854600,\n",
       "  6144100],\n",
       " [6734500,\n",
       "  4041800,\n",
       "  1991800,\n",
       "  1737100,\n",
       "  3003400,\n",
       "  4401000,\n",
       "  nan,\n",
       "  7299000,\n",
       "  8573900,\n",
       "  6582900],\n",
       " [11749400,\n",
       "  2242400,\n",
       "  2150500,\n",
       "  1445100,\n",
       "  2299200,\n",
       "  5723200,\n",
       "  nan,\n",
       "  7512800,\n",
       "  9566600,\n",
       "  8602600],\n",
       " [7181500,\n",
       "  2674600,\n",
       "  2137200,\n",
       "  4593600,\n",
       "  3638400,\n",
       "  5648400,\n",
       "  nan,\n",
       "  5988600,\n",
       "  11633200,\n",
       "  6876200],\n",
       " [6409400,\n",
       "  2193000,\n",
       "  2994400,\n",
       "  2021300,\n",
       "  2820200,\n",
       "  6300400,\n",
       "  nan,\n",
       "  4319200,\n",
       "  7307400,\n",
       "  6079900],\n",
       " [5679500,\n",
       "  2158800,\n",
       "  2668200,\n",
       "  1791900,\n",
       "  2775200,\n",
       "  4648000,\n",
       "  nan,\n",
       "  4177400,\n",
       "  8785100,\n",
       "  7029100],\n",
       " [10162300,\n",
       "  1216200,\n",
       "  2800100,\n",
       "  2265100,\n",
       "  3386000,\n",
       "  4105600,\n",
       "  nan,\n",
       "  4853600,\n",
       "  12941500,\n",
       "  6624200],\n",
       " [6029800,\n",
       "  1405200,\n",
       "  2145500,\n",
       "  2229900,\n",
       "  2258400,\n",
       "  4423200,\n",
       "  nan,\n",
       "  4712800,\n",
       "  10622900,\n",
       "  15377600],\n",
       " [10231200,\n",
       "  3828600,\n",
       "  2708100,\n",
       "  1674500,\n",
       "  3405000,\n",
       "  4161200,\n",
       "  nan,\n",
       "  4754400,\n",
       "  7570600,\n",
       "  14197100],\n",
       " [5712200,\n",
       "  3729400,\n",
       "  2415500,\n",
       "  1396900,\n",
       "  4114200,\n",
       "  5343000,\n",
       "  nan,\n",
       "  5468800,\n",
       "  7484900,\n",
       "  17524400],\n",
       " [7088200,\n",
       "  1500600,\n",
       "  2395600,\n",
       "  2436200,\n",
       "  2209800,\n",
       "  6173600,\n",
       "  nan,\n",
       "  10617600,\n",
       "  10525100,\n",
       "  6587300],\n",
       " [6962300,\n",
       "  1328600,\n",
       "  3328900,\n",
       "  2311600,\n",
       "  2906800,\n",
       "  6744000,\n",
       "  nan,\n",
       "  7551000,\n",
       "  10000300,\n",
       "  8584200],\n",
       " [5347400,\n",
       "  2149000,\n",
       "  4081800,\n",
       "  1425500,\n",
       "  4043400,\n",
       "  6357600,\n",
       "  nan,\n",
       "  9754000,\n",
       "  9644200,\n",
       "  7889900],\n",
       " [6977700,\n",
       "  1338200,\n",
       "  2131700,\n",
       "  1487800,\n",
       "  3057800,\n",
       "  4460400,\n",
       "  nan,\n",
       "  5778800,\n",
       "  6731200,\n",
       "  6754200],\n",
       " [5251400,\n",
       "  2921800,\n",
       "  2707400,\n",
       "  2671800,\n",
       "  2753600,\n",
       "  6313600,\n",
       "  nan,\n",
       "  6240600,\n",
       "  10975100,\n",
       "  4810800],\n",
       " [7325300,\n",
       "  1976400,\n",
       "  3245000,\n",
       "  1624300,\n",
       "  2133000,\n",
       "  4111000,\n",
       "  nan,\n",
       "  5512200,\n",
       "  11912500,\n",
       "  4734400],\n",
       " [11257800,\n",
       "  949600,\n",
       "  3842800,\n",
       "  1893400,\n",
       "  1778200,\n",
       "  7293200,\n",
       "  nan,\n",
       "  5802800,\n",
       "  10747900,\n",
       "  6300400],\n",
       " [14084700,\n",
       "  1830000,\n",
       "  3274100,\n",
       "  1673400,\n",
       "  3652600,\n",
       "  1854000,\n",
       "  nan,\n",
       "  6161800,\n",
       "  10318000,\n",
       "  7906200],\n",
       " [11219500,\n",
       "  745400,\n",
       "  3115000,\n",
       "  1868500,\n",
       "  3026000,\n",
       "  3914800,\n",
       "  nan,\n",
       "  4647600,\n",
       "  7876600,\n",
       "  9372400],\n",
       " [9102000,\n",
       "  1088000,\n",
       "  2024500,\n",
       "  1130500,\n",
       "  3210600,\n",
       "  4714400,\n",
       "  nan,\n",
       "  3858200,\n",
       "  6801400,\n",
       "  8379800],\n",
       " [7635200,\n",
       "  1178000,\n",
       "  2186500,\n",
       "  1528600,\n",
       "  2744800,\n",
       "  4082400,\n",
       "  nan,\n",
       "  5259200,\n",
       "  8587600,\n",
       "  6846100],\n",
       " [7580400,\n",
       "  1672400,\n",
       "  3576700,\n",
       "  4923600,\n",
       "  2512400,\n",
       "  4776000,\n",
       "  nan,\n",
       "  6362200,\n",
       "  17085700,\n",
       "  5751400],\n",
       " [14575000,\n",
       "  1247600,\n",
       "  2178000,\n",
       "  9087400,\n",
       "  3617200,\n",
       "  4973200,\n",
       "  nan,\n",
       "  5828000,\n",
       "  23063100,\n",
       "  9496800],\n",
       " [15237900,\n",
       "  3122800,\n",
       "  1750200,\n",
       "  4623900,\n",
       "  2828400,\n",
       "  3472000,\n",
       "  nan,\n",
       "  5426600,\n",
       "  18998000,\n",
       "  7746600],\n",
       " [15864100,\n",
       "  2483800,\n",
       "  1380100,\n",
       "  3255500,\n",
       "  2096400,\n",
       "  4871400,\n",
       "  nan,\n",
       "  5358600,\n",
       "  14148500,\n",
       "  5944900],\n",
       " [8457200,\n",
       "  1705400,\n",
       "  3043100,\n",
       "  4276300,\n",
       "  2210400,\n",
       "  4623800,\n",
       "  nan,\n",
       "  5236200,\n",
       "  14679100,\n",
       "  7934300],\n",
       " [13411800,\n",
       "  1426000,\n",
       "  2676600,\n",
       "  2429400,\n",
       "  1883400,\n",
       "  4933800,\n",
       "  nan,\n",
       "  4104000,\n",
       "  8165200,\n",
       "  9870700],\n",
       " [8073100,\n",
       "  365600,\n",
       "  3017900,\n",
       "  1352700,\n",
       "  967800,\n",
       "  5962400,\n",
       "  nan,\n",
       "  1670200,\n",
       "  4255200,\n",
       "  21578600],\n",
       " [4520900,\n",
       "  2382400,\n",
       "  1018200,\n",
       "  2612600,\n",
       "  2498800,\n",
       "  4487600,\n",
       "  nan,\n",
       "  4530600,\n",
       "  9661500,\n",
       "  12933700],\n",
       " [21833000,\n",
       "  2453000,\n",
       "  3286600,\n",
       "  3347500,\n",
       "  2837800,\n",
       "  5048800,\n",
       "  nan,\n",
       "  6468800,\n",
       "  17290800,\n",
       "  17571400],\n",
       " [21639600,\n",
       "  1653200,\n",
       "  2680200,\n",
       "  2444500,\n",
       "  2011600,\n",
       "  5291200,\n",
       "  nan,\n",
       "  5375200,\n",
       "  9614500,\n",
       "  13109900],\n",
       " [12690000,\n",
       "  1263000,\n",
       "  3601900,\n",
       "  2006300,\n",
       "  2637800,\n",
       "  5547600,\n",
       "  nan,\n",
       "  7271800,\n",
       "  8653800,\n",
       "  7441000],\n",
       " [16046900,\n",
       "  2226200,\n",
       "  3248500,\n",
       "  2246600,\n",
       "  2564200,\n",
       "  4123800,\n",
       "  nan,\n",
       "  5503800,\n",
       "  11149400,\n",
       "  6633700],\n",
       " [12116000,\n",
       "  1578000,\n",
       "  3149500,\n",
       "  4242600,\n",
       "  3403400,\n",
       "  3379000,\n",
       "  nan,\n",
       "  5478000,\n",
       "  14867000,\n",
       "  7188100],\n",
       " [11164700,\n",
       "  1866800,\n",
       "  2869800,\n",
       "  2840600,\n",
       "  1697000,\n",
       "  4170200,\n",
       "  nan,\n",
       "  4826600,\n",
       "  10639600,\n",
       "  6531000],\n",
       " [10918700,\n",
       "  2312000,\n",
       "  3553200,\n",
       "  3063300,\n",
       "  3470600,\n",
       "  3457400,\n",
       "  nan,\n",
       "  6286000,\n",
       "  16423000,\n",
       "  10706300],\n",
       " [19815200,\n",
       "  2869400,\n",
       "  3633500,\n",
       "  2679700,\n",
       "  3870800,\n",
       "  5040400,\n",
       "  nan,\n",
       "  5156800,\n",
       "  15466000,\n",
       "  8410200],\n",
       " [29969500,\n",
       "  2811000,\n",
       "  2457100,\n",
       "  2013300,\n",
       "  2743200,\n",
       "  3855600,\n",
       "  nan,\n",
       "  4300800,\n",
       "  9849600,\n",
       "  8463000],\n",
       " [15928000,\n",
       "  1966200,\n",
       "  2790200,\n",
       "  2376000,\n",
       "  2965400,\n",
       "  3604000,\n",
       "  nan,\n",
       "  7705400,\n",
       "  9777700,\n",
       "  7181400],\n",
       " [11406400,\n",
       "  2311200,\n",
       "  4845100,\n",
       "  2372200,\n",
       "  2841800,\n",
       "  4729000,\n",
       "  nan,\n",
       "  6994600,\n",
       "  12106400,\n",
       "  8128400],\n",
       " [13814600,\n",
       "  2326800,\n",
       "  4617800,\n",
       "  1993200,\n",
       "  2743000,\n",
       "  11906000,\n",
       "  nan,\n",
       "  16633600,\n",
       "  10019400,\n",
       "  8981100],\n",
       " [15174700,\n",
       "  1327400,\n",
       "  4179700,\n",
       "  2354800,\n",
       "  2249600,\n",
       "  13991800,\n",
       "  nan,\n",
       "  12713600,\n",
       "  15775800,\n",
       "  9908600],\n",
       " [11176600,\n",
       "  1775000,\n",
       "  2660300,\n",
       "  2145900,\n",
       "  2469200,\n",
       "  6892000,\n",
       "  nan,\n",
       "  6435000,\n",
       "  10986800,\n",
       "  22158900],\n",
       " [9484200,\n",
       "  1383600,\n",
       "  6937300,\n",
       "  2389300,\n",
       "  1907000,\n",
       "  6070400,\n",
       "  nan,\n",
       "  7140000,\n",
       "  12371600,\n",
       "  53462800],\n",
       " [7241400,\n",
       "  1114400,\n",
       "  3990300,\n",
       "  2000600,\n",
       "  3061000,\n",
       "  4143800,\n",
       "  nan,\n",
       "  6464200,\n",
       "  10260200,\n",
       "  42931600],\n",
       " [7466900,\n",
       "  1255200,\n",
       "  2400000,\n",
       "  2693900,\n",
       "  3387600,\n",
       "  6239200,\n",
       "  nan,\n",
       "  7946400,\n",
       "  13235800,\n",
       "  23387300],\n",
       " [6699700,\n",
       "  2620600,\n",
       "  3273700,\n",
       "  2422500,\n",
       "  3264600,\n",
       "  5352600,\n",
       "  nan,\n",
       "  5670000,\n",
       "  11980000,\n",
       "  13417700],\n",
       " [9319700,\n",
       "  4719800,\n",
       "  2467400,\n",
       "  2603900,\n",
       "  4217200,\n",
       "  6223400,\n",
       "  nan,\n",
       "  8700000,\n",
       "  24171000,\n",
       "  7806500],\n",
       " [11211800,\n",
       "  1320200,\n",
       "  2601100,\n",
       "  1560900,\n",
       "  886800,\n",
       "  4855400,\n",
       "  nan,\n",
       "  2033800,\n",
       "  4411200,\n",
       "  15360500],\n",
       " [1975200,\n",
       "  2878800,\n",
       "  762400,\n",
       "  1617900,\n",
       "  1533000,\n",
       "  4856800,\n",
       "  nan,\n",
       "  3726200,\n",
       "  9869100,\n",
       "  6227700],\n",
       " [12450700,\n",
       "  2970000,\n",
       "  1087000,\n",
       "  2168300,\n",
       "  1169000,\n",
       "  5222200,\n",
       "  nan,\n",
       "  4227400,\n",
       "  7359800,\n",
       "  6328800],\n",
       " [7659200,\n",
       "  1203800,\n",
       "  1236400,\n",
       "  1955800,\n",
       "  2533000,\n",
       "  4953800,\n",
       "  nan,\n",
       "  3529400,\n",
       "  7989500,\n",
       "  6497300],\n",
       " [12276400,\n",
       "  1729800,\n",
       "  1842800,\n",
       "  1844800,\n",
       "  2016000,\n",
       "  6100800,\n",
       "  nan,\n",
       "  3792200,\n",
       "  8707400,\n",
       "  8334200],\n",
       " [8992400,\n",
       "  3813000,\n",
       "  1854900,\n",
       "  2199500,\n",
       "  2352000,\n",
       "  5137400,\n",
       "  nan,\n",
       "  6215200,\n",
       "  11154100,\n",
       "  9414000],\n",
       " [10638500,\n",
       "  2909000,\n",
       "  4005700,\n",
       "  2133200,\n",
       "  2002800,\n",
       "  3946800,\n",
       "  nan,\n",
       "  5215600,\n",
       "  10008100,\n",
       "  10233600],\n",
       " [11619700,\n",
       "  3035400,\n",
       "  7744500,\n",
       "  2357800,\n",
       "  4466800,\n",
       "  4656600,\n",
       "  nan,\n",
       "  6177800,\n",
       "  7954700,\n",
       "  18434600],\n",
       " [11868700,\n",
       "  1910000,\n",
       "  8604600,\n",
       "  1691400,\n",
       "  3740800,\n",
       "  5034000,\n",
       "  nan,\n",
       "  6306000,\n",
       "  9925400,\n",
       "  17800500],\n",
       " [14253700,\n",
       "  2687200,\n",
       "  4540900,\n",
       "  1869400,\n",
       "  6150000,\n",
       "  6433200,\n",
       "  nan,\n",
       "  4007800,\n",
       "  8232800,\n",
       "  13288500],\n",
       " [9360100,\n",
       "  2306200,\n",
       "  6603500,\n",
       "  2384500,\n",
       "  3956800,\n",
       "  6013000,\n",
       "  nan,\n",
       "  5525600,\n",
       "  10016700,\n",
       "  8836700],\n",
       " [18706200,\n",
       "  2530400,\n",
       "  3993000,\n",
       "  2239300,\n",
       "  2819200,\n",
       "  4013000,\n",
       "  nan,\n",
       "  7150000,\n",
       "  7784700,\n",
       "  11555500],\n",
       " [10218400,\n",
       "  1939000,\n",
       "  3471300,\n",
       "  1455600,\n",
       "  2486000,\n",
       "  5390800,\n",
       "  nan,\n",
       "  5447800,\n",
       "  9354800,\n",
       "  7768700],\n",
       " [7123200,\n",
       "  2176800,\n",
       "  2600100,\n",
       "  1848900,\n",
       "  2354600,\n",
       "  5110000,\n",
       "  nan,\n",
       "  6067200,\n",
       "  10025600,\n",
       "  9109500],\n",
       " [10531400,\n",
       "  3410600,\n",
       "  2529400,\n",
       "  2598100,\n",
       "  2620400,\n",
       "  5673400,\n",
       "  nan,\n",
       "  5376000,\n",
       "  9360900,\n",
       "  7774600],\n",
       " [7636100,\n",
       "  4694400,\n",
       "  2662600,\n",
       "  2357400,\n",
       "  3063200,\n",
       "  4586800,\n",
       "  nan,\n",
       "  6041600,\n",
       "  8873300,\n",
       "  7352300],\n",
       " [18065900,\n",
       "  1104000,\n",
       "  2990900,\n",
       "  2025400,\n",
       "  1721600,\n",
       "  3829400,\n",
       "  nan,\n",
       "  4514200,\n",
       "  7466800,\n",
       "  9801500],\n",
       " [29531600,\n",
       "  1420400,\n",
       "  5006400,\n",
       "  2605900,\n",
       "  1947600,\n",
       "  5445800,\n",
       "  nan,\n",
       "  5384800,\n",
       "  10288300,\n",
       "  10832000],\n",
       " [17622100,\n",
       "  1307000,\n",
       "  3867000,\n",
       "  1355200,\n",
       "  2431600,\n",
       "  5999000,\n",
       "  nan,\n",
       "  5094000,\n",
       "  7038200,\n",
       "  12670800],\n",
       " [13648000,\n",
       "  1810400,\n",
       "  3800500,\n",
       "  3013100,\n",
       "  3579600,\n",
       "  7550200,\n",
       "  nan,\n",
       "  5149600,\n",
       "  9821400,\n",
       "  12068300],\n",
       " [10501100,\n",
       "  1182400,\n",
       "  4007000,\n",
       "  2993500,\n",
       "  2422400,\n",
       "  5245600,\n",
       "  nan,\n",
       "  6200600,\n",
       "  10000900,\n",
       "  15407300],\n",
       " [14139800,\n",
       "  2069400,\n",
       "  4296200,\n",
       "  1572900,\n",
       "  2560000,\n",
       "  5959400,\n",
       "  nan,\n",
       "  5285400,\n",
       "  8384800,\n",
       "  15120000],\n",
       " [10004500,\n",
       "  1866800,\n",
       "  2095600,\n",
       "  2612700,\n",
       "  2125400,\n",
       "  6275400,\n",
       "  nan,\n",
       "  4488000,\n",
       "  8020100,\n",
       "  7729300],\n",
       " [5960700,\n",
       "  3182800,\n",
       "  2030800,\n",
       "  2119900,\n",
       "  3016200,\n",
       "  4523600,\n",
       "  nan,\n",
       "  5804800,\n",
       "  11769600,\n",
       "  7577600],\n",
       " [9777100,\n",
       "  3619600,\n",
       "  3800200,\n",
       "  3316900,\n",
       "  3654000,\n",
       "  6642400,\n",
       "  nan,\n",
       "  7644800,\n",
       "  11692400,\n",
       "  11152100],\n",
       " [18262800,\n",
       "  2568200,\n",
       "  8906600,\n",
       "  2049300,\n",
       "  3961400,\n",
       "  4383600,\n",
       "  nan,\n",
       "  14320600,\n",
       "  10868300,\n",
       "  12915400],\n",
       " [7339700,\n",
       "  2103600,\n",
       "  3844300,\n",
       "  3037100,\n",
       "  2576600,\n",
       "  4532400,\n",
       "  nan,\n",
       "  10329800,\n",
       "  9417500,\n",
       "  9307200],\n",
       " [6697200,\n",
       "  1755800,\n",
       "  3974200,\n",
       "  1351600,\n",
       "  2942400,\n",
       "  4248000,\n",
       "  nan,\n",
       "  9202800,\n",
       "  9996700,\n",
       "  17542500],\n",
       " [8653200,\n",
       "  2200400,\n",
       "  3650100,\n",
       "  1464100,\n",
       "  10743400,\n",
       "  4237800,\n",
       "  nan,\n",
       "  7054400,\n",
       "  10946400,\n",
       "  8956700],\n",
       " [10471500,\n",
       "  3111200,\n",
       "  4436900,\n",
       "  1752900,\n",
       "  5851200,\n",
       "  3998200,\n",
       "  nan,\n",
       "  7101400,\n",
       "  10164800,\n",
       "  13651300],\n",
       " [12168200,\n",
       "  1980000,\n",
       "  3577300,\n",
       "  2670900,\n",
       "  6470200,\n",
       "  3325000,\n",
       "  nan,\n",
       "  5262400,\n",
       "  8801900,\n",
       "  11172600],\n",
       " [10399000,\n",
       "  1829000,\n",
       "  6501000,\n",
       "  1509600,\n",
       "  4804200,\n",
       "  4090600,\n",
       "  nan,\n",
       "  5362800,\n",
       "  8693600,\n",
       "  8836700],\n",
       " [8815000,\n",
       "  1983400,\n",
       "  4155100,\n",
       "  1798200,\n",
       "  3329400,\n",
       "  4780200,\n",
       "  nan,\n",
       "  5237600,\n",
       "  8453800,\n",
       "  9860200],\n",
       " [6319700,\n",
       "  1720000,\n",
       "  4005600,\n",
       "  2512200,\n",
       "  4552600,\n",
       "  4098600,\n",
       "  nan,\n",
       "  7656400,\n",
       "  7316200,\n",
       "  8261900],\n",
       " [4750300,\n",
       "  1412200,\n",
       "  5553000,\n",
       "  4315800,\n",
       "  2927600,\n",
       "  3854400,\n",
       "  nan,\n",
       "  5163600,\n",
       "  10061500,\n",
       "  11650000],\n",
       " [11237700,\n",
       "  1006800,\n",
       "  4085200,\n",
       "  3476300,\n",
       "  2352600,\n",
       "  4451000,\n",
       "  nan,\n",
       "  4621000,\n",
       "  9836700,\n",
       "  7484700],\n",
       " [6716500,\n",
       "  1606600,\n",
       "  2795100,\n",
       "  2312900,\n",
       "  3337600,\n",
       "  5793600,\n",
       "  nan,\n",
       "  8888200,\n",
       "  10380100,\n",
       "  8645900],\n",
       " [7388500,\n",
       "  1896000,\n",
       "  2512600,\n",
       "  2859400,\n",
       "  2687600,\n",
       "  4843000,\n",
       "  nan,\n",
       "  5683000,\n",
       "  9784900,\n",
       "  11328500],\n",
       " [12179900,\n",
       "  1591600,\n",
       "  2229300,\n",
       "  1505300,\n",
       "  2530600,\n",
       "  4324600,\n",
       "  nan,\n",
       "  6675200,\n",
       "  7148800,\n",
       "  6813900],\n",
       " [12314000,\n",
       "  1804200,\n",
       "  8419400,\n",
       "  2202100,\n",
       "  3054200,\n",
       "  5347400,\n",
       "  nan,\n",
       "  7683000,\n",
       "  11565800,\n",
       "  8808600],\n",
       " [9956400,\n",
       "  3671800,\n",
       "  4692200,\n",
       "  1927000,\n",
       "  3240000,\n",
       "  3993600,\n",
       "  nan,\n",
       "  7219200,\n",
       "  17792800,\n",
       "  10971700],\n",
       " [8986600,\n",
       "  2152200,\n",
       "  3037600,\n",
       "  2257200,\n",
       "  2353400,\n",
       "  3869400,\n",
       "  nan,\n",
       "  10096200,\n",
       "  11498200,\n",
       "  19773500],\n",
       " [9601700,\n",
       "  2616200,\n",
       "  3485800,\n",
       "  2928200,\n",
       "  2833200,\n",
       "  3842400,\n",
       "  nan,\n",
       "  7694800,\n",
       "  9975700,\n",
       "  9925600],\n",
       " [8340800,\n",
       "  2544200,\n",
       "  3533400,\n",
       "  2903400,\n",
       "  3140200,\n",
       "  8002600,\n",
       "  nan,\n",
       "  6840000,\n",
       "  13830000,\n",
       "  7728100],\n",
       " [8200100,\n",
       "  3606400,\n",
       "  3172700,\n",
       "  2297300,\n",
       "  4416000,\n",
       "  4920800,\n",
       "  nan,\n",
       "  7061000,\n",
       "  12863500,\n",
       "  10137800],\n",
       " [8166500,\n",
       "  2499000,\n",
       "  3222700,\n",
       "  1721300,\n",
       "  2456000,\n",
       "  3940800,\n",
       "  nan,\n",
       "  6660600,\n",
       "  12620500,\n",
       "  9003700],\n",
       " [16390000,\n",
       "  2425400,\n",
       "  3401200,\n",
       "  2784100,\n",
       "  2891000,\n",
       "  3745800,\n",
       "  nan,\n",
       "  8561600,\n",
       "  11774100,\n",
       "  9211500],\n",
       " [16007000,\n",
       "  3420600,\n",
       "  2957600,\n",
       "  2386700,\n",
       "  4435600,\n",
       "  3852000,\n",
       "  nan,\n",
       "  7263200,\n",
       "  10720700,\n",
       "  12815400],\n",
       " [14305300,\n",
       "  1610200,\n",
       "  3417900,\n",
       "  2053300,\n",
       "  3075800,\n",
       "  4464600,\n",
       "  nan,\n",
       "  6252400,\n",
       "  14335100,\n",
       "  8502700],\n",
       " [11450100,\n",
       "  1609800,\n",
       "  3626900,\n",
       "  2364900,\n",
       "  4216800,\n",
       "  3902800,\n",
       "  nan,\n",
       "  8440600,\n",
       "  11681300,\n",
       "  12082500],\n",
       " [8219600,\n",
       "  2391600,\n",
       "  2189000,\n",
       "  2059000,\n",
       "  4707800,\n",
       "  5369600,\n",
       "  nan,\n",
       "  5458600,\n",
       "  10764300,\n",
       "  9090900],\n",
       " [9375200,\n",
       "  2885800,\n",
       "  2629600,\n",
       "  2374800,\n",
       "  3580200,\n",
       "  4347400,\n",
       "  nan,\n",
       "  5111800,\n",
       "  12075200,\n",
       "  8649600],\n",
       " [16689000,\n",
       "  2133400,\n",
       "  2958600,\n",
       "  2931700,\n",
       "  4117800,\n",
       "  5299000,\n",
       "  nan,\n",
       "  4659000,\n",
       "  12578200,\n",
       "  6621800],\n",
       " [14405900,\n",
       "  2794000,\n",
       "  2072900,\n",
       "  2262100,\n",
       "  3132400,\n",
       "  7440000,\n",
       "  nan,\n",
       "  4711400,\n",
       "  14190700,\n",
       "  5491200],\n",
       " [7668400,\n",
       "  2497000,\n",
       "  4486200,\n",
       "  2060700,\n",
       "  2533600,\n",
       "  5641600,\n",
       "  nan,\n",
       "  4966200,\n",
       "  8663200,\n",
       "  7798000],\n",
       " [5771100,\n",
       "  2819000,\n",
       "  2778400,\n",
       "  1771700,\n",
       "  5309600,\n",
       "  3934800,\n",
       "  nan,\n",
       "  11834000,\n",
       "  15839000,\n",
       "  7972400],\n",
       " [12285100,\n",
       "  1820000,\n",
       "  2749300,\n",
       "  2265200,\n",
       "  3555800,\n",
       "  5290600,\n",
       "  nan,\n",
       "  6526600,\n",
       "  8532800,\n",
       "  9478600],\n",
       " [6107000,\n",
       "  4210600,\n",
       "  3628800,\n",
       "  2164200,\n",
       "  5698200,\n",
       "  4943600,\n",
       "  nan,\n",
       "  12534000,\n",
       "  7912400,\n",
       "  8429400],\n",
       " [4893100,\n",
       "  2748000,\n",
       "  1894500,\n",
       "  2036200,\n",
       "  2409200,\n",
       "  6328400,\n",
       "  nan,\n",
       "  7200600,\n",
       "  8026000,\n",
       "  7673200],\n",
       " [4863200,\n",
       "  2665600,\n",
       "  2582100,\n",
       "  2447300,\n",
       "  3040200,\n",
       "  4818400,\n",
       "  nan,\n",
       "  8240400,\n",
       "  8106100,\n",
       "  7936600],\n",
       " [10058800,\n",
       "  2482000,\n",
       "  3168100,\n",
       "  1442300,\n",
       "  2475400,\n",
       "  3817400,\n",
       "  nan,\n",
       "  7146600,\n",
       "  9236000,\n",
       "  7875300],\n",
       " [6223800,\n",
       "  1461200,\n",
       "  2016400,\n",
       "  2307700,\n",
       "  2441600,\n",
       "  7095600,\n",
       "  nan,\n",
       "  5805600,\n",
       "  9524300,\n",
       "  8464700],\n",
       " [5113800,\n",
       "  1991600,\n",
       "  3179300,\n",
       "  2097000,\n",
       "  3280000,\n",
       "  5344800,\n",
       "  nan,\n",
       "  5748400,\n",
       "  11320100,\n",
       "  8132100],\n",
       " [7887700,\n",
       "  1913000,\n",
       "  3042900,\n",
       "  1735500,\n",
       "  2983400,\n",
       "  4779800,\n",
       "  nan,\n",
       "  5317600,\n",
       "  11040700,\n",
       "  7926400],\n",
       " [5565800,\n",
       "  2008600,\n",
       "  2603600,\n",
       "  2252900,\n",
       "  2236400,\n",
       "  4976000,\n",
       "  nan,\n",
       "  4629400,\n",
       "  8795800,\n",
       "  7649600],\n",
       " [4884900,\n",
       "  1966800,\n",
       "  5143800,\n",
       "  2519000,\n",
       "  8093800,\n",
       "  5618600,\n",
       "  nan,\n",
       "  5194200,\n",
       "  8833100,\n",
       "  8544600],\n",
       " [6324100,\n",
       "  1313800,\n",
       "  3604300,\n",
       "  1487900,\n",
       "  1948200,\n",
       "  5280200,\n",
       "  nan,\n",
       "  9360200,\n",
       "  8940600,\n",
       "  7849900],\n",
       " [7101300,\n",
       "  1912400,\n",
       "  4025000,\n",
       "  2694000,\n",
       "  2546400,\n",
       "  4266200,\n",
       "  nan,\n",
       "  6616400,\n",
       "  12707400,\n",
       "  6825200],\n",
       " [6769200,\n",
       "  2713200,\n",
       "  4543900,\n",
       "  1943900,\n",
       "  3369400,\n",
       "  3895200,\n",
       "  nan,\n",
       "  7125200,\n",
       "  13688200,\n",
       "  7860800],\n",
       " [7062100,\n",
       "  1840400,\n",
       "  5429100,\n",
       "  2845300,\n",
       "  2074200,\n",
       "  4606200,\n",
       "  nan,\n",
       "  5528600,\n",
       "  11131400,\n",
       "  9802400],\n",
       " [8943800,\n",
       "  1770600,\n",
       "  8105000,\n",
       "  2768500,\n",
       "  2031000,\n",
       "  5465000,\n",
       "  nan,\n",
       "  5673200,\n",
       "  9198200,\n",
       "  8992300],\n",
       " [13066000,\n",
       "  1667200,\n",
       "  4849100,\n",
       "  2217200,\n",
       "  2373800,\n",
       "  4324800,\n",
       "  nan,\n",
       "  5295400,\n",
       "  9209400,\n",
       "  11161900],\n",
       " [10627800,\n",
       "  1881200,\n",
       "  3240200,\n",
       "  2112300,\n",
       "  4910400,\n",
       "  3735400,\n",
       "  nan,\n",
       "  8211000,\n",
       "  10215600,\n",
       "  16485300],\n",
       " [14146500,\n",
       "  2010800,\n",
       "  8840400,\n",
       "  1926300,\n",
       "  3706800,\n",
       "  3213200,\n",
       "  nan,\n",
       "  6602600,\n",
       "  8586400,\n",
       "  11252000],\n",
       " [33850100,\n",
       "  1767600,\n",
       "  4746500,\n",
       "  2616900,\n",
       "  2842600,\n",
       "  3489200,\n",
       "  nan,\n",
       "  6425600,\n",
       "  13003900,\n",
       "  9741300],\n",
       " [11440300,\n",
       "  2304600,\n",
       "  3615700,\n",
       "  1873900,\n",
       "  2762800,\n",
       "  3938600,\n",
       "  nan,\n",
       "  4967600,\n",
       "  11223100,\n",
       "  5718200],\n",
       " [8779700,\n",
       "  2857400,\n",
       "  2739500,\n",
       "  1864500,\n",
       "  4503800,\n",
       "  4457200,\n",
       "  nan,\n",
       "  6192800,\n",
       "  10433500,\n",
       "  8018000],\n",
       " [14544200,\n",
       "  917600,\n",
       "  3011800,\n",
       "  2826200,\n",
       "  5055000,\n",
       "  4293400,\n",
       "  nan,\n",
       "  5885400,\n",
       "  9249900,\n",
       "  6310300],\n",
       " [11117000,\n",
       "  4899600,\n",
       "  2119500,\n",
       "  1853300,\n",
       "  23873400,\n",
       "  4114800,\n",
       "  nan,\n",
       "  8901200,\n",
       "  9595600,\n",
       "  7172700],\n",
       " [8157000,\n",
       "  2980600,\n",
       "  3224300,\n",
       "  1692600,\n",
       "  10752400,\n",
       "  3810600,\n",
       "  nan,\n",
       "  6050200,\n",
       "  8588700,\n",
       "  7508300],\n",
       " [8979800,\n",
       "  1712600,\n",
       "  3053000,\n",
       "  1656600,\n",
       "  5537400,\n",
       "  5273000,\n",
       "  nan,\n",
       "  4922600,\n",
       "  8602400,\n",
       "  7360600],\n",
       " [9884700,\n",
       "  2375400,\n",
       "  2880900,\n",
       "  1907800,\n",
       "  4177800,\n",
       "  4756200,\n",
       "  nan,\n",
       "  5258800,\n",
       "  19136900,\n",
       "  7544400],\n",
       " [7058800,\n",
       "  2023400,\n",
       "  2668300,\n",
       "  2162000,\n",
       "  8283400,\n",
       "  4852200,\n",
       "  nan,\n",
       "  4852800,\n",
       "  12851900,\n",
       "  13035700],\n",
       " [13295500,\n",
       "  2192200,\n",
       "  12466400,\n",
       "  2268000,\n",
       "  4639200,\n",
       "  4432000,\n",
       "  nan,\n",
       "  5363400,\n",
       "  11531800,\n",
       "  10664900],\n",
       " [8113000,\n",
       "  1284400,\n",
       "  4626400,\n",
       "  2142900,\n",
       "  4126800,\n",
       "  3731200,\n",
       "  nan,\n",
       "  7137800,\n",
       "  9862100,\n",
       "  10462400],\n",
       " [9385600,\n",
       "  1786400,\n",
       "  5379800,\n",
       "  1512300,\n",
       "  3977000,\n",
       "  5153400,\n",
       "  nan,\n",
       "  6242200,\n",
       "  9984800,\n",
       "  16068300],\n",
       " [7766700,\n",
       "  2774200,\n",
       "  5541300,\n",
       "  2101800,\n",
       "  5648800,\n",
       "  3829000,\n",
       "  nan,\n",
       "  8289800,\n",
       "  12563300,\n",
       "  18466200],\n",
       " [10275100,\n",
       "  2159600,\n",
       "  8281300,\n",
       "  1191300,\n",
       "  4238000,\n",
       "  4984600,\n",
       "  nan,\n",
       "  9687400,\n",
       "  9792200,\n",
       "  13158600],\n",
       " [13239800,\n",
       "  2010600,\n",
       "  4009200,\n",
       "  1702400,\n",
       "  5300600,\n",
       "  4806200,\n",
       "  nan,\n",
       "  8356000,\n",
       "  9238100,\n",
       "  11781700],\n",
       " [10322600,\n",
       "  1655200,\n",
       "  3638400,\n",
       "  2857300,\n",
       "  4607600,\n",
       "  4099400,\n",
       "  nan,\n",
       "  6009600,\n",
       "  10978100,\n",
       "  11893300],\n",
       " [6265000,\n",
       "  1426400,\n",
       "  7393100,\n",
       "  2002700,\n",
       "  4080600,\n",
       "  5994600,\n",
       "  nan,\n",
       "  6156400,\n",
       "  9538900,\n",
       "  19896500],\n",
       " [7413800,\n",
       "  2564200,\n",
       "  5652900,\n",
       "  1353800,\n",
       "  3518400,\n",
       "  5687600,\n",
       "  nan,\n",
       "  7002400,\n",
       "  8852200,\n",
       "  14550200],\n",
       " [6173300,\n",
       "  3788000,\n",
       "  5544100,\n",
       "  1093900,\n",
       "  4607400,\n",
       "  6902600,\n",
       "  nan,\n",
       "  7567000,\n",
       "  12336100,\n",
       "  17309600],\n",
       " [10531500,\n",
       "  3414800,\n",
       "  6003400,\n",
       "  1618200,\n",
       "  2576400,\n",
       "  5758000,\n",
       "  nan,\n",
       "  5605200,\n",
       "  8253000,\n",
       "  13702700],\n",
       " [10800700,\n",
       "  2510600,\n",
       "  3821700,\n",
       "  1032600,\n",
       "  2877000,\n",
       "  5787800,\n",
       "  nan,\n",
       "  4717000,\n",
       "  9034200,\n",
       "  11267100],\n",
       " [8551600,\n",
       "  1629800,\n",
       "  8129900,\n",
       "  1830800,\n",
       "  2390600,\n",
       "  6977000,\n",
       "  nan,\n",
       "  4454800,\n",
       "  8817200,\n",
       "  15089500],\n",
       " [6909900,\n",
       "  1705400,\n",
       "  6918100,\n",
       "  3074400,\n",
       "  3207400,\n",
       "  4627000,\n",
       "  nan,\n",
       "  5857600,\n",
       "  9722900,\n",
       "  12188500],\n",
       " [12142900,\n",
       "  1761400,\n",
       "  14661200,\n",
       "  1994900,\n",
       "  3352400,\n",
       "  6117400,\n",
       "  nan,\n",
       "  5776600,\n",
       "  9809300,\n",
       "  19911900],\n",
       " [10269100,\n",
       "  2639200,\n",
       "  7801300,\n",
       "  1636900,\n",
       "  3230800,\n",
       "  5449000,\n",
       "  nan,\n",
       "  5541200,\n",
       "  7826600,\n",
       "  12411000],\n",
       " [6933500,\n",
       "  1878000,\n",
       "  3943700,\n",
       "  1084900,\n",
       "  3629800,\n",
       "  5123600,\n",
       "  nan,\n",
       "  4853800,\n",
       "  9923900,\n",
       "  9762000],\n",
       " [5993600,\n",
       "  1625200,\n",
       "  4627300,\n",
       "  1190300,\n",
       "  1936800,\n",
       "  5252600,\n",
       "  nan,\n",
       "  3962600,\n",
       "  7980300,\n",
       "  11693000],\n",
       " [6926000,\n",
       "  1589200,\n",
       "  3739200,\n",
       "  1219300,\n",
       "  2620400,\n",
       "  3571200,\n",
       "  nan,\n",
       "  6335000,\n",
       "  9500800,\n",
       "  10291000],\n",
       " [4856600,\n",
       "  2431800,\n",
       "  5965100,\n",
       "  2170300,\n",
       "  4404000,\n",
       "  4327200,\n",
       "  nan,\n",
       "  4678000,\n",
       "  8230600,\n",
       "  10284500],\n",
       " [8342300,\n",
       "  3040200,\n",
       "  4060400,\n",
       "  1964000,\n",
       "  3936000,\n",
       "  3969800,\n",
       "  nan,\n",
       "  5095400,\n",
       "  10996200,\n",
       "  10122800],\n",
       " [6991300,\n",
       "  3058600,\n",
       "  5072700,\n",
       "  924300,\n",
       "  3152000,\n",
       "  7095000,\n",
       "  nan,\n",
       "  4672000,\n",
       "  7744600,\n",
       "  12870700],\n",
       " [4378400,\n",
       "  2803200,\n",
       "  5136800,\n",
       "  1705200,\n",
       "  4723200,\n",
       "  9133600,\n",
       "  nan,\n",
       "  7444200,\n",
       "  8587400,\n",
       "  10398000],\n",
       " [4895100,\n",
       "  3050000,\n",
       "  3787800,\n",
       "  2555100,\n",
       "  5487200,\n",
       "  8067400,\n",
       "  nan,\n",
       "  10643000,\n",
       "  9969600,\n",
       "  8356900],\n",
       " [5353900,\n",
       "  1647000,\n",
       "  3342500,\n",
       "  1325300,\n",
       "  6159400,\n",
       "  10355200,\n",
       "  nan,\n",
       "  6515400,\n",
       "  13759400,\n",
       "  8374400],\n",
       " [4404900,\n",
       "  2785800,\n",
       "  3143900,\n",
       "  1323400,\n",
       "  7180000,\n",
       "  8503800,\n",
       "  nan,\n",
       "  6061600,\n",
       "  11517400,\n",
       "  8696900],\n",
       " [5232600,\n",
       "  1890800,\n",
       "  3141700,\n",
       "  927500,\n",
       "  4357800,\n",
       "  7042600,\n",
       "  nan,\n",
       "  6416600,\n",
       "  9956100,\n",
       "  13576500],\n",
       " [5672000,\n",
       "  2169200,\n",
       "  4815900,\n",
       "  1673000,\n",
       "  4105400,\n",
       "  5961200,\n",
       "  nan,\n",
       "  7687200,\n",
       "  9864300,\n",
       "  11488600],\n",
       " [7526100,\n",
       "  5850800,\n",
       "  7604800,\n",
       "  1158200,\n",
       "  6186000,\n",
       "  12202600,\n",
       "  nan,\n",
       "  6203600,\n",
       "  12635500,\n",
       "  20425700],\n",
       " [5904700,\n",
       "  3812800,\n",
       "  5360800,\n",
       "  1146900,\n",
       "  5573400,\n",
       "  12801400,\n",
       "  nan,\n",
       "  5417800,\n",
       "  10638700,\n",
       "  13877300],\n",
       " [6606000,\n",
       "  2384000,\n",
       "  7172500,\n",
       "  1838300,\n",
       "  3721400,\n",
       "  13862000,\n",
       "  nan,\n",
       "  6044400,\n",
       "  10827800,\n",
       "  11437800],\n",
       " [7736900,\n",
       "  3384000,\n",
       "  6671100,\n",
       "  2511700,\n",
       "  7769000,\n",
       "  15515800,\n",
       "  nan,\n",
       "  5658000,\n",
       "  7594800,\n",
       "  19310800],\n",
       " [4793600,\n",
       "  2601600,\n",
       "  4875300,\n",
       "  1704600,\n",
       "  3461000,\n",
       "  9858000,\n",
       "  nan,\n",
       "  5639600,\n",
       "  10022600,\n",
       "  11323000],\n",
       " [5406200,\n",
       "  5610200,\n",
       "  20366000,\n",
       "  2386600,\n",
       "  4991000,\n",
       "  6123600,\n",
       "  nan,\n",
       "  17653600,\n",
       "  10906300,\n",
       "  23670200],\n",
       " [8480100,\n",
       "  2696800,\n",
       "  9035900,\n",
       "  2848000,\n",
       "  2806600,\n",
       "  7428800,\n",
       "  nan,\n",
       "  8006400,\n",
       "  9567200,\n",
       "  23412700],\n",
       " [5099200,\n",
       "  5169600,\n",
       "  6788000,\n",
       "  2620900,\n",
       "  4092600,\n",
       "  11261200,\n",
       "  nan,\n",
       "  8263400,\n",
       "  10627700,\n",
       "  18379600],\n",
       " [6832100,\n",
       "  2689000,\n",
       "  6775300,\n",
       "  3051900,\n",
       "  2730600,\n",
       "  13176200,\n",
       "  nan,\n",
       "  7725000,\n",
       "  10574600,\n",
       "  23160100],\n",
       " [7037800,\n",
       "  3072400,\n",
       "  5349100,\n",
       "  1921500,\n",
       "  3714400,\n",
       "  9975800,\n",
       "  nan,\n",
       "  5837000,\n",
       "  8283200,\n",
       "  27585900],\n",
       " [5616300,\n",
       "  2627600,\n",
       "  3936800,\n",
       "  1741200,\n",
       "  3868800,\n",
       "  7379600,\n",
       "  nan,\n",
       "  8186200,\n",
       "  8435400,\n",
       "  22008900],\n",
       " [6418700,\n",
       "  3783000,\n",
       "  5758800,\n",
       "  2151700,\n",
       "  5338000,\n",
       "  6437200,\n",
       "  nan,\n",
       "  6914000,\n",
       "  11815600,\n",
       "  14895400],\n",
       " [6938500,\n",
       "  3918200,\n",
       "  4758100,\n",
       "  1619000,\n",
       "  5976400,\n",
       "  6548000,\n",
       "  nan,\n",
       "  12414200,\n",
       "  23805400,\n",
       "  18859800],\n",
       " [7300900,\n",
       "  4815000,\n",
       "  4779400,\n",
       "  2392700,\n",
       "  8145400,\n",
       "  4797800,\n",
       "  nan,\n",
       "  10612400,\n",
       "  13013000,\n",
       "  16920500],\n",
       " [9825100,\n",
       "  6249800,\n",
       "  5931000,\n",
       "  2601800,\n",
       "  6525800,\n",
       "  6024400,\n",
       "  nan,\n",
       "  11756000,\n",
       "  13443300,\n",
       "  18445800],\n",
       " [14714200,\n",
       "  9927000,\n",
       "  4680300,\n",
       "  2811100,\n",
       "  11124000,\n",
       "  5120200,\n",
       "  nan,\n",
       "  13636800,\n",
       "  14097000,\n",
       "  14703900],\n",
       " [13440700,\n",
       "  3751200,\n",
       "  6363600,\n",
       "  1992200,\n",
       "  9843600,\n",
       "  4224800,\n",
       "  nan,\n",
       "  9508800,\n",
       "  11104100,\n",
       "  18774700],\n",
       " [11654100,\n",
       "  3193600,\n",
       "  4638700,\n",
       "  2190600,\n",
       "  6416800,\n",
       "  5725400,\n",
       "  nan,\n",
       "  13927800,\n",
       "  13687000,\n",
       "  13633200],\n",
       " [6143700,\n",
       "  3192200,\n",
       "  3567100,\n",
       "  2513500,\n",
       "  4912600,\n",
       "  6524200,\n",
       "  nan,\n",
       "  7669600,\n",
       "  10116100,\n",
       "  12124900],\n",
       " [7795900,\n",
       "  2643800,\n",
       "  4916200,\n",
       "  2111400,\n",
       "  5774400,\n",
       "  5934800,\n",
       "  nan,\n",
       "  8129400,\n",
       "  11605400,\n",
       "  15524200],\n",
       " [16847500,\n",
       "  2585600,\n",
       "  13586300,\n",
       "  1819200,\n",
       "  4623200,\n",
       "  4529000,\n",
       "  nan,\n",
       "  7605400,\n",
       "  10421200,\n",
       "  17090600],\n",
       " [12462200,\n",
       "  1093400,\n",
       "  4977500,\n",
       "  1416900,\n",
       "  2740200,\n",
       "  5458800,\n",
       "  nan,\n",
       "  3607000,\n",
       "  5832200,\n",
       "  19578800],\n",
       " [4702200,\n",
       "  1663200,\n",
       "  1456500,\n",
       "  2065500,\n",
       "  2036600,\n",
       "  7336600,\n",
       "  nan,\n",
       "  5636000,\n",
       "  9894100,\n",
       "  6389300],\n",
       " [10484700,\n",
       "  1494200,\n",
       "  3436800,\n",
       "  1555000,\n",
       "  3575000,\n",
       "  6306800,\n",
       "  nan,\n",
       "  6830800,\n",
       "  10528500,\n",
       "  12002500],\n",
       " [8982100,\n",
       "  2099600,\n",
       "  3260800,\n",
       "  3622900,\n",
       "  3697800,\n",
       "  4701600,\n",
       "  nan,\n",
       "  9820800,\n",
       "  17556400,\n",
       "  12511600],\n",
       " [19446000,\n",
       "  3768800,\n",
       "  5037800,\n",
       "  4416300,\n",
       "  6794000,\n",
       "  4332800,\n",
       "  nan,\n",
       "  12641200,\n",
       "  20484600,\n",
       "  18408100],\n",
       " [39700500,\n",
       "  4045600,\n",
       "  8834300,\n",
       "  3450400,\n",
       "  6915600,\n",
       "  4974000,\n",
       "  nan,\n",
       "  13774400,\n",
       "  16022100,\n",
       "  20284600],\n",
       " [17619600,\n",
       "  3527000,\n",
       "  8250200,\n",
       "  5808300,\n",
       "  5589000,\n",
       "  5040800,\n",
       "  nan,\n",
       "  13870000,\n",
       "  23503000,\n",
       "  16175000],\n",
       " [19064400,\n",
       "  3259000,\n",
       "  4978500,\n",
       "  4165800,\n",
       "  3515400,\n",
       "  6125000,\n",
       "  nan,\n",
       "  10471000,\n",
       "  19350000,\n",
       "  26548600],\n",
       " [17012900,\n",
       "  2713000,\n",
       "  7870100,\n",
       "  2995200,\n",
       "  5341800,\n",
       "  5439600,\n",
       "  nan,\n",
       "  11520600,\n",
       "  16737100,\n",
       "  36591300],\n",
       " [14939200,\n",
       "  2851000,\n",
       "  9769900,\n",
       "  3467200,\n",
       "  4282600,\n",
       "  3927600,\n",
       "  nan,\n",
       "  8894600,\n",
       "  15263800,\n",
       "  27267500],\n",
       " [10480600,\n",
       "  3141600,\n",
       "  6406600,\n",
       "  4251500,\n",
       "  6488200,\n",
       "  7761400,\n",
       "  nan,\n",
       "  17296600,\n",
       "  27427300,\n",
       "  20934800],\n",
       " [9623100,\n",
       "  4100200,\n",
       "  5099800,\n",
       "  4804800,\n",
       "  5809000,\n",
       "  7535200,\n",
       "  nan,\n",
       "  17208800,\n",
       "  35977900,\n",
       "  26562500],\n",
       " [12945600,\n",
       "  3540400,\n",
       "  5560700,\n",
       "  4593500,\n",
       "  7353800,\n",
       "  5000400,\n",
       "  nan,\n",
       "  13197600,\n",
       "  32738400,\n",
       "  23880400],\n",
       " [11718700,\n",
       "  3081000,\n",
       "  5812900,\n",
       "  5005000,\n",
       "  8207600,\n",
       "  4415800,\n",
       "  nan,\n",
       "  16049800,\n",
       "  39264500,\n",
       "  22123700],\n",
       " [14480200,\n",
       "  3174800,\n",
       "  6354200,\n",
       "  3535300,\n",
       "  5660000,\n",
       "  4684800,\n",
       "  nan,\n",
       "  12998200,\n",
       "  26774100,\n",
       "  23255400],\n",
       " [19319400,\n",
       "  1833200,\n",
       "  6487900,\n",
       "  2863800,\n",
       "  7229400,\n",
       "  4792800,\n",
       "  nan,\n",
       "  8991400,\n",
       "  15494900,\n",
       "  41978700],\n",
       " [12097700,\n",
       "  2841600,\n",
       "  4711900,\n",
       "  3076900,\n",
       "  5262200,\n",
       "  3889800,\n",
       "  nan,\n",
       "  9766000,\n",
       "  16063600,\n",
       "  16759400],\n",
       " [8454900,\n",
       "  3150600,\n",
       "  5352400,\n",
       "  2996500,\n",
       "  5524800,\n",
       "  5924200,\n",
       "  nan,\n",
       "  8611400,\n",
       "  17231800,\n",
       "  20315800],\n",
       " [9221200,\n",
       "  4127800,\n",
       "  6439500,\n",
       "  3817900,\n",
       "  6548600,\n",
       "  4392400,\n",
       "  nan,\n",
       "  10109400,\n",
       "  18054400,\n",
       "  23640400],\n",
       " [6764100,\n",
       "  6182800,\n",
       "  5161400,\n",
       "  3111300,\n",
       "  6083200,\n",
       "  3888400,\n",
       "  nan,\n",
       "  10232800,\n",
       "  21435300,\n",
       "  32485900],\n",
       " [7950600,\n",
       "  4398800,\n",
       "  3643100,\n",
       "  2798100,\n",
       "  5615800,\n",
       "  6387800,\n",
       "  nan,\n",
       "  14414600,\n",
       "  16043400,\n",
       "  15100000],\n",
       " [8880800,\n",
       "  2575000,\n",
       "  4463400,\n",
       "  1414300,\n",
       "  4299600,\n",
       "  4354000,\n",
       "  nan,\n",
       "  15920200,\n",
       "  12707700,\n",
       "  15095700],\n",
       " [8047700,\n",
       "  3832400,\n",
       "  4165000,\n",
       "  2528300,\n",
       "  6193000,\n",
       "  4072600,\n",
       "  nan,\n",
       "  13034400,\n",
       "  13239400,\n",
       "  14829600],\n",
       " [7426400,\n",
       "  1819200,\n",
       "  4670800,\n",
       "  2847000,\n",
       "  4765000,\n",
       "  7731200,\n",
       "  nan,\n",
       "  10878600,\n",
       "  13842300,\n",
       "  15566400],\n",
       " [8276800,\n",
       "  5849800,\n",
       "  3851300,\n",
       "  2112400,\n",
       "  3970600,\n",
       "  5008400,\n",
       "  nan,\n",
       "  9899600,\n",
       "  15523500,\n",
       "  14860200],\n",
       " [6268900,\n",
       "  2988800,\n",
       "  5956600,\n",
       "  1976300,\n",
       "  3805200,\n",
       "  5781600,\n",
       "  nan,\n",
       "  8585600,\n",
       "  12947100,\n",
       "  19053800],\n",
       " [4702900,\n",
       "  1872200,\n",
       "  5033000,\n",
       "  1308100,\n",
       "  2188200,\n",
       "  5604600,\n",
       "  nan,\n",
       "  6195000,\n",
       "  9413000,\n",
       "  11818200],\n",
       " [4380300,\n",
       "  2434800,\n",
       "  2636500,\n",
       "  1779900,\n",
       "  3995400,\n",
       "  6122400,\n",
       "  nan,\n",
       "  9134800,\n",
       "  9417000,\n",
       "  9409500],\n",
       " [9927200,\n",
       "  1642000,\n",
       "  5004800,\n",
       "  2433600,\n",
       "  2823400,\n",
       "  5361400,\n",
       "  nan,\n",
       "  8913800,\n",
       "  11652100,\n",
       "  14150700],\n",
       " [9472000,\n",
       "  2121800,\n",
       "  4886500,\n",
       "  3421000,\n",
       "  2751400,\n",
       "  8511600,\n",
       "  nan,\n",
       "  8818800,\n",
       "  11152900,\n",
       "  16121000],\n",
       " [6780100,\n",
       "  2637000,\n",
       "  4772100,\n",
       "  1522900,\n",
       "  3637800,\n",
       "  7054400,\n",
       "  nan,\n",
       "  9597800,\n",
       "  11176100,\n",
       "  13191900],\n",
       " [7174500,\n",
       "  1744600,\n",
       "  2579500,\n",
       "  2532700,\n",
       "  2857000,\n",
       "  6445000,\n",
       "  nan,\n",
       "  7625600,\n",
       "  9320000,\n",
       "  10347400],\n",
       " [12427700,\n",
       "  2695600,\n",
       "  3374900,\n",
       "  2812000,\n",
       "  2925800,\n",
       "  6939200,\n",
       "  nan,\n",
       "  6746800,\n",
       "  11061300,\n",
       "  11007200],\n",
       " [8101800,\n",
       "  1513400,\n",
       "  3196300,\n",
       "  2402500,\n",
       "  2178200,\n",
       "  6376200,\n",
       "  nan,\n",
       "  6013600,\n",
       "  11023800,\n",
       "  11322000],\n",
       " [10333700,\n",
       "  1534800,\n",
       "  2661600,\n",
       "  2061500,\n",
       "  2561400,\n",
       "  6679400,\n",
       "  nan,\n",
       "  5797600,\n",
       "  9116100,\n",
       "  10410300],\n",
       " [10449100,\n",
       "  1067000,\n",
       "  3823700,\n",
       "  1347900,\n",
       "  2952800,\n",
       "  7468800,\n",
       "  nan,\n",
       "  5005600,\n",
       "  7740000,\n",
       "  11490500],\n",
       " [8411100,\n",
       "  1376400,\n",
       "  5061500,\n",
       "  1059400,\n",
       "  3137600,\n",
       "  5989200,\n",
       "  nan,\n",
       "  6402200,\n",
       "  7033900,\n",
       "  10575700],\n",
       " [11132000,\n",
       "  2601400,\n",
       "  5777200,\n",
       "  3058100,\n",
       "  3595800,\n",
       "  6095200,\n",
       "  nan,\n",
       "  6801400,\n",
       "  12400900,\n",
       "  11105300],\n",
       " [12229700,\n",
       "  2239600,\n",
       "  4179600,\n",
       "  3219000,\n",
       "  2847200,\n",
       "  4540200,\n",
       "  nan,\n",
       "  5233000,\n",
       "  9197600,\n",
       "  10400000],\n",
       " [27067700,\n",
       "  2578200,\n",
       "  3638300,\n",
       "  3512000,\n",
       "  3239000,\n",
       "  4003600,\n",
       "  nan,\n",
       "  7888000,\n",
       "  9134300,\n",
       "  11773800],\n",
       " [35207300,\n",
       "  1731000,\n",
       "  3643100,\n",
       "  2261200,\n",
       "  2689400,\n",
       "  6898600,\n",
       "  nan,\n",
       "  5918600,\n",
       "  8951500,\n",
       "  10716500],\n",
       " [11494900,\n",
       "  3402600,\n",
       "  2801000,\n",
       "  3249800,\n",
       "  3879600,\n",
       "  4385000,\n",
       "  nan,\n",
       "  7865600,\n",
       "  13862600,\n",
       "  8837100],\n",
       " [12171200,\n",
       "  3140800,\n",
       "  5486100,\n",
       "  6786000,\n",
       "  4445000,\n",
       "  5000200,\n",
       "  nan,\n",
       "  9421000,\n",
       "  13289000,\n",
       "  14015200],\n",
       " [12804200,\n",
       "  2822000,\n",
       "  3587500,\n",
       "  3960500,\n",
       "  11291000,\n",
       "  4755400,\n",
       "  nan,\n",
       "  11532600,\n",
       "  11340100,\n",
       "  12589200],\n",
       " [9391900,\n",
       "  2587000,\n",
       "  5027000,\n",
       "  3036400,\n",
       "  5687800,\n",
       "  4168400,\n",
       "  nan,\n",
       "  7070000,\n",
       "  10269100,\n",
       "  11915300],\n",
       " [8525400,\n",
       "  1482200,\n",
       "  3545800,\n",
       "  2043700,\n",
       "  3827400,\n",
       "  6823000,\n",
       "  nan,\n",
       "  5254000,\n",
       "  9354300,\n",
       "  10178500],\n",
       " [9309200,\n",
       "  3341400,\n",
       "  3561900,\n",
       "  1710500,\n",
       "  3559000,\n",
       "  6762600,\n",
       "  nan,\n",
       "  6178800,\n",
       "  8169200,\n",
       "  11836100],\n",
       " [9510500,\n",
       "  1728200,\n",
       "  4234900,\n",
       "  1059000,\n",
       "  2200600,\n",
       "  5860800,\n",
       "  nan,\n",
       "  4898000,\n",
       "  7316900,\n",
       "  11646600],\n",
       " [7395400,\n",
       "  1270000,\n",
       "  2820800,\n",
       "  2178900,\n",
       "  2887200,\n",
       "  5145600,\n",
       "  nan,\n",
       "  5531200,\n",
       "  9389300,\n",
       "  8247800],\n",
       " [9976100,\n",
       "  1662600,\n",
       "  3182500,\n",
       "  2282300,\n",
       "  2749200,\n",
       "  5592400,\n",
       "  nan,\n",
       "  6074200,\n",
       "  9329100,\n",
       "  8734700],\n",
       " [6767600,\n",
       "  1700000,\n",
       "  4229100,\n",
       "  1148100,\n",
       "  2780200,\n",
       "  7950000,\n",
       "  nan,\n",
       "  6958400,\n",
       "  7065200,\n",
       "  10767200],\n",
       " [4516200,\n",
       "  2297000,\n",
       "  2653900,\n",
       "  2976100,\n",
       "  5267400,\n",
       "  6254600,\n",
       "  nan,\n",
       "  8230600,\n",
       "  12089200,\n",
       "  7268600],\n",
       " [4960600,\n",
       "  2486000,\n",
       "  4485700,\n",
       "  3825700,\n",
       "  2608000,\n",
       "  21510800,\n",
       "  nan,\n",
       "  6818600,\n",
       "  9824700,\n",
       "  10198900],\n",
       " [4848300,\n",
       "  2055000,\n",
       "  3504000,\n",
       "  4561300,\n",
       "  3169000,\n",
       "  12174000,\n",
       "  nan,\n",
       "  6948200,\n",
       "  10096000,\n",
       "  13279500],\n",
       " [4739100,\n",
       "  2827800,\n",
       "  9221400,\n",
       "  2341500,\n",
       "  5012800,\n",
       "  7816400,\n",
       "  nan,\n",
       "  12441400,\n",
       "  20841000,\n",
       "  26167000],\n",
       " [5897400,\n",
       "  1870200,\n",
       "  10493400,\n",
       "  2515200,\n",
       "  2394200,\n",
       "  7188000,\n",
       "  nan,\n",
       "  7043200,\n",
       "  10375500,\n",
       "  22258100],\n",
       " [8015100,\n",
       "  2680800,\n",
       "  5503700,\n",
       "  3254700,\n",
       "  4652800,\n",
       "  7444000,\n",
       "  nan,\n",
       "  10100400,\n",
       "  13320800,\n",
       "  16223600],\n",
       " [8763500,\n",
       "  3127200,\n",
       "  5291100,\n",
       "  3106200,\n",
       "  4386400,\n",
       "  7232600,\n",
       "  nan,\n",
       "  8502200,\n",
       "  11921100,\n",
       "  21555100],\n",
       " [11622000,\n",
       "  3861200,\n",
       "  6212800,\n",
       "  2233600,\n",
       "  4181000,\n",
       "  6410400,\n",
       "  nan,\n",
       "  8046400,\n",
       "  13692700,\n",
       "  16873900],\n",
       " [17819600,\n",
       "  2260800,\n",
       "  6106000,\n",
       "  2403400,\n",
       "  6141400,\n",
       "  4499800,\n",
       "  nan,\n",
       "  8770400,\n",
       "  12573500,\n",
       "  13783900],\n",
       " [7089600,\n",
       "  3697800,\n",
       "  7242700,\n",
       "  2911800,\n",
       "  6257200,\n",
       "  4760000,\n",
       "  nan,\n",
       "  13542600,\n",
       "  19161500,\n",
       "  18846800],\n",
       " [10035900,\n",
       "  2587600,\n",
       "  6641700,\n",
       "  2860700,\n",
       "  4081200,\n",
       "  7337400,\n",
       "  nan,\n",
       "  9988400,\n",
       "  16184500,\n",
       "  21394400],\n",
       " [8914500,\n",
       "  1690800,\n",
       "  9988500,\n",
       "  3840400,\n",
       "  3419600,\n",
       "  7160000,\n",
       "  nan,\n",
       "  7124600,\n",
       "  19248800,\n",
       "  20465100],\n",
       " [8748400,\n",
       "  2613600,\n",
       "  6506100,\n",
       "  3677800,\n",
       "  3601800,\n",
       "  6456000,\n",
       "  nan,\n",
       "  10279200,\n",
       "  18108600,\n",
       "  18973100],\n",
       " [5784400,\n",
       "  2090000,\n",
       "  4356400,\n",
       "  2833200,\n",
       "  3240800,\n",
       "  5951800,\n",
       "  nan,\n",
       "  10423800,\n",
       "  15902400,\n",
       "  14344400],\n",
       " [5440900,\n",
       "  4238800,\n",
       "  8487600,\n",
       "  2375100,\n",
       "  5262800,\n",
       "  5311200,\n",
       "  nan,\n",
       "  10581200,\n",
       "  13817600,\n",
       "  18212800],\n",
       " [5106300,\n",
       "  2530800,\n",
       "  4666100,\n",
       "  3593800,\n",
       "  4591000,\n",
       "  7328800,\n",
       "  nan,\n",
       "  9721400,\n",
       "  17120900,\n",
       "  17669800],\n",
       " [7880400,\n",
       "  4093200,\n",
       "  4646900,\n",
       "  3993600,\n",
       "  4617400,\n",
       "  7615400,\n",
       "  nan,\n",
       "  10339800,\n",
       "  17479700,\n",
       "  21490600],\n",
       " [16260400,\n",
       "  2425800,\n",
       "  6794800,\n",
       "  3719200,\n",
       "  5363200,\n",
       "  7396200,\n",
       "  nan,\n",
       "  9295400,\n",
       "  16089100,\n",
       "  17512300],\n",
       " [12366100,\n",
       "  2826400,\n",
       "  7050900,\n",
       "  3299100,\n",
       "  4522000,\n",
       "  7220800,\n",
       "  nan,\n",
       "  9631400,\n",
       "  11821800,\n",
       "  21956600],\n",
       " [32566300,\n",
       "  1289800,\n",
       "  4337700,\n",
       "  1754300,\n",
       "  4479600,\n",
       "  7702400,\n",
       "  nan,\n",
       "  6391800,\n",
       "  7994200,\n",
       "  20004000],\n",
       " [31998600,\n",
       "  4218800,\n",
       "  3506900,\n",
       "  3587800,\n",
       "  9250400,\n",
       "  5471600,\n",
       "  nan,\n",
       "  14184800,\n",
       "  17805000,\n",
       "  13598900],\n",
       " [36675200,\n",
       "  2894600,\n",
       "  6113400,\n",
       "  2483000,\n",
       "  5594400,\n",
       "  2676600,\n",
       "  nan,\n",
       "  7130600,\n",
       "  13468500,\n",
       "  19412700],\n",
       " [21668100,\n",
       "  2489200,\n",
       "  5087700,\n",
       "  2538500,\n",
       "  4907200,\n",
       "  7767400,\n",
       "  nan,\n",
       "  7662400,\n",
       "  10636600,\n",
       "  15310000],\n",
       " [22186900,\n",
       "  6446400,\n",
       "  6390600,\n",
       "  2091800,\n",
       "  4421000,\n",
       "  5281200,\n",
       "  nan,\n",
       "  6693600,\n",
       "  11811300,\n",
       "  16852000],\n",
       " [14441800,\n",
       "  3446200,\n",
       "  4480800,\n",
       "  2188000,\n",
       "  3958000,\n",
       "  5879800,\n",
       "  nan,\n",
       "  6718800,\n",
       "  10343400,\n",
       "  13882800],\n",
       " [17458600,\n",
       "  3319200,\n",
       "  5613500,\n",
       "  3372100,\n",
       "  4564200,\n",
       "  5748400,\n",
       "  nan,\n",
       "  9419000,\n",
       "  13081800,\n",
       "  13359700],\n",
       " [13672100,\n",
       "  1929600,\n",
       "  4792000,\n",
       "  3734300,\n",
       "  3461800,\n",
       "  4557600,\n",
       "  nan,\n",
       "  8340000,\n",
       "  12191900,\n",
       "  12733400],\n",
       " [14428400,\n",
       "  2585400,\n",
       "  3001600,\n",
       "  3048900,\n",
       "  2780000,\n",
       "  5680200,\n",
       "  nan,\n",
       "  7057400,\n",
       "  9703500,\n",
       "  16408200],\n",
       " [16850100,\n",
       "  2180800,\n",
       "  2394600,\n",
       "  2102200,\n",
       "  2424200,\n",
       "  5613800,\n",
       "  nan,\n",
       "  6887000,\n",
       "  11096700,\n",
       "  23077400],\n",
       " [11843200,\n",
       "  1710600,\n",
       "  2946000,\n",
       "  2546800,\n",
       "  4209600,\n",
       "  5276400,\n",
       "  nan,\n",
       "  14604400,\n",
       "  8972400,\n",
       "  12379700],\n",
       " [10149300,\n",
       "  2305200,\n",
       "  2710000,\n",
       "  9239200,\n",
       "  3645800,\n",
       "  4169200,\n",
       "  nan,\n",
       "  15990400,\n",
       "  15135800,\n",
       "  11878100],\n",
       " [9512800,\n",
       "  2919400,\n",
       "  2371400,\n",
       "  6579600,\n",
       "  2740800,\n",
       "  5462200,\n",
       "  nan,\n",
       "  8828200,\n",
       "  14874500,\n",
       "  12983700],\n",
       " [9127400,\n",
       "  1904400,\n",
       "  4479500,\n",
       "  3805200,\n",
       "  3148000,\n",
       "  7115000,\n",
       "  nan,\n",
       "  7876800,\n",
       "  18917600,\n",
       "  12342600],\n",
       " [9646600,\n",
       "  1868600,\n",
       "  4435900,\n",
       "  2067300,\n",
       "  4150600,\n",
       "  5324600,\n",
       "  nan,\n",
       "  8595200,\n",
       "  11977900,\n",
       "  35472200]]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tickers = ['YHOO', 'AVP', 'BIIB', 'BP', 'CL', 'CVX',, 'PG', 'XOM', 'AMGN']\n",
    "\n",
    "def getdata():\n",
    "    shortest = 300\n",
    "    prices = {}\n",
    "    dates = None\n",
    "\n",
    "    start = datetime.datetime(2000, 1, 1)\n",
    "    end = datetime.date.today()\n",
    "\n",
    "    for t in tickers:\n",
    "        # Use pandas_datareader get finance data\n",
    "        # Extract the volume field from every line\n",
    "        rows = data.DataReader(t, 'google', start, end)\n",
    "        print('Get %s data!' % t)\n",
    "        prices[t] = list(rows['Volume'])\n",
    "\n",
    "        if len(prices[t]) < shortest:\n",
    "            shortest = len(prices[t])\n",
    "\n",
    "        if not dates:\n",
    "            dates = list(map(str, rows.index))\n",
    "\n",
    "    return [[prices[tickers[i]][j]\n",
    "           for i in range(len(tickers))]\n",
    "          for j in range(shortest)]\n",
    "\n",
    "getdata()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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